Triple

T30111992
Position Surface form Disambiguated ID Type / Status
Subject Bolivar (Paris Métro) E765301 entity
Predicate adjacentStationOnLine 7bis P41425 FINISHED
Object Buttes Chaumont (Paris Métro)
Buttes Chaumont (Paris Métro) is a station on line 7bis of the Paris Métro serving the area around the Parc des Buttes-Chaumont in the 19th arrondissement.
 E1899987 NE FINISHED

How this triple was built (3 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: Buttes Chaumont (Paris Métro) | Statement: [Bolivar (Paris Métro), adjacentStationOnLine 7bis, Buttes Chaumont (Paris Métro)]
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: Buttes Chaumont (Paris Métro)
Triple: [Bolivar (Paris Métro), adjacentStationOnLine 7bis, Buttes Chaumont (Paris Métro)]
Generated description
Buttes Chaumont (Paris Métro) is a station on line 7bis of the Paris Métro serving the area around the Parc des Buttes-Chaumont in the 19th arrondissement.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: adjacentStationOnLine 7bis
Context triple: [Bolivar (Paris Métro), adjacentStationOnLine 7bis, Buttes Chaumont (Paris Métro)]
  • A. hasAdjacentStationOnLine 7bis
    Indicates that one station is directly next to another station along metro line 7bis.
  • B. adjacentStationOnLine chosen
    Indicates that one station is directly next to another station along the same transit line, with no other station in between.
  • C. adjacentStationOnLine2
    Indicates that one station is directly next to another station along line 2 in a transit or rail network.
  • D. adjacentStationOnLineD
    Indicates that one station is directly next to another station along line D, with no other stations in between on that line.
  • E. adjacentStationOnLineB
    Indicates that one station is directly next to another station along line B in the network.
  • 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_69f22475ad7c8190be7f9541044a0bbb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2743376c808190a6bc89154bc0a8f2 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a2743bb3a8081908e963d8e8f4a9abc completed June 8, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a2744c1a1d881908e1e9a00a065a253 completed June 8, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
Created at: April 29, 2026, 7:10 p.m.