Triple

T880921
Position Surface form Disambiguated ID Type / Status
Subject San Antonio, New Mexico E19023 entity
Predicate hasStateAbbreviation P2461 FINISHED
Object NM
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
E103548 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NM | Statement: [San Antonio, New Mexico, hasStateAbbreviation, NM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NM
Context triple: [San Antonio, New Mexico, hasStateAbbreviation, NM]
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • E. ONT
    ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NM
Triple: [San Antonio, New Mexico, hasStateAbbreviation, NM]
Generated description
NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NM
Target entity description: NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • E. ONT
    ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStateAbbreviation
Context triple: [San Antonio, New Mexico, hasStateAbbreviation, NM]
  • A. hasPostalAbbreviationState chosen
    Indicates that a state is associated with a specific standardized postal abbreviation.
  • B. stateOrTerritory
    Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
  • C. stateName
    Indicates that an entity is identified by or associated with a particular state’s name.
  • D. stateNickname
    Indicates that one entity is the commonly used nickname or informal moniker for a given state.
  • E. hasAddressState
    Indicates that an entity’s address is located within a particular state or state-level administrative region.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accb653c81909fe0753f78145be9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b95117e881908efe83c0f8b685fe completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9a6edd48190a1feff7e887f76ba completed March 4, 2026, 4:48 a.m.
PD Predicate disambiguation batch_69a4aa8eca748190b58e0f08b30fba43 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.