Triple

T6758996
Position Surface form Disambiguated ID Type / Status
Subject Garanhuns E154541 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PE
PE is the official vehicle registration code for the Brazilian state of Pernambuco.
E618647 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: PE | Statement: [Garanhuns, vehicleRegistrationCode, PE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PE
Context triple: [Garanhuns, vehicleRegistrationCode, PE]
  • A. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • B. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • C. PE
    PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • 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: PE
Triple: [Garanhuns, vehicleRegistrationCode, PE]
Generated description
PE is the official vehicle registration code for the Brazilian state of Pernambuco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PE
Target entity description: PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • A. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • B. PE
    PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
  • C. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PER
    PER is the IATA airport code for Perth Airport, the main international and domestic gateway serving Perth in Western Australia.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b0926c81909601f21407526fd9 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c7135106288190b5b20523c3efa229 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7141cd52c8190a783590ad1067840 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:12 p.m.