Triple

T16273425
Position Surface form Disambiguated ID Type / Status
Subject Peel station (Montreal Metro) E395059 entity
Predicate code P1537 FINISHED
Object PE
PE is the station code used to identify Peel station on Montreal's Metro system.
 E1204583 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: [Peel station (Montreal Metro), code, PE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PE
Context triple: [Peel station (Montreal Metro), code, PE]
  • A. PE
    PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • B. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • C. PE
    PE is the vehicle registration code used on license plates for the district of Peine in Lower Saxony, Germany.
  • D. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • E. PE
    PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
  • 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: [Peel station (Montreal Metro), code, PE]
Generated description
PE is the station code used to identify Peel station on Montreal's Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PE
Target entity description: PE is the station code used to identify Peel station on Montreal's Metro system.
  • 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 the official vehicle registration code for the Brazilian state of Pernambuco.
  • E. PE
    PE is the vehicle registration code used on license plates for the district of Peine in Lower Saxony, Germany.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001a35b43081909b44a22798b1ef1b completed May 10, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a001a93530c81908cb4180d9ebe9850 completed May 10, 2026, 5:41 a.m.
Created at: April 10, 2026, 5:05 a.m.