Triple

T1494228
Position Surface form Disambiguated ID Type / Status
Subject Acapulco E29649 entity
Predicate regionCode P208 FINISHED
Object MX-GRO
MX-GRO is the ISO 3166-2 regional code for the Mexican state of Guerrero, where the city of Acapulco is located.
E170864 NE FINISHED

How this triple was built (4 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: MX-GRO | Statement: [Acapulco, regionCode, MX-GRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MX-GRO
Context triple: [Acapulco, regionCode, MX-GRO]
  • A. MX-JAL
    MX-JAL is the ISO 3166-2 subdivision code assigned to the Mexican state of Jalisco.
  • B. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • C. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • D. M561 Gama Goat
    The M561 Gama Goat was a Vietnam War–era six-wheel-drive articulated military truck known for its exceptional off-road mobility and amphibious capability.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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: MX-GRO
Triple: [Acapulco, regionCode, MX-GRO]
Generated description
MX-GRO is the ISO 3166-2 regional code for the Mexican state of Guerrero, where the city of Acapulco is located.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MX-GRO
Target entity description: MX-GRO is the ISO 3166-2 regional code for the Mexican state of Guerrero, where the city of Acapulco is located.
  • A. MX-JAL
    MX-JAL is the ISO 3166-2 subdivision code assigned to the Mexican state of Jalisco.
  • B. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • C. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • D. M561 Gama Goat
    The M561 Gama Goat was a Vietnam War–era six-wheel-drive articulated military truck known for its exceptional off-road mobility and amphibious capability.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • F. None of above. chosen

Provenance (5 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c78c9481909b210b845aa6e9df completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cabe25c8190ba1d285a210a00f0 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1fb7e4448190a7bca159cd5a4be7 completed March 8, 2026, 7:05 a.m.
NED2 Entity disambiguation (via description) batch_69ad2014a0c481908f2f66fc742fa90f completed March 8, 2026, 7:07 a.m.
Created at: March 1, 2026, 8:12 p.m.