Triple

T8883757
Position Surface form Disambiguated ID Type / Status
Subject Saint-Lazare E211473 entity
Predicate metroLine P848 FINISHED
Object Line 12
Line 12 is a major Paris Métro line running roughly north–south across the city, connecting several key districts and landmarks.
 E765412 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: Line 12 | Statement: [Saint-Lazare, metroLine, Line 12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 12
Context triple: [Saint-Lazare, metroLine, Line 12]
  • A. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • B. Line 12
    Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
  • C. Line 12
    Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
  • D. Line 12
    Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
  • E. Line 12
    Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • 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: Line 12
Triple: [Saint-Lazare, metroLine, Line 12]
Generated description
Line 12 is a major Paris Métro line running roughly north–south across the city, connecting several key districts and landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 12
Target entity description: Line 12 is a major Paris Métro line running roughly north–south across the city, connecting several key districts and landmarks.
  • A. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • B. Line 12
    Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
  • C. Line 12
    Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
  • D. Line 12
    Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
  • E. Line 12
    Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabd254148190b5ea3d308fe96851 completed April 3, 2026, noon
NEDg Description generation batch_69cfafb878048190b311342fbd93145e completed April 3, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69cfb0392038819083f730a45787260b completed April 3, 2026, 12:19 p.m.
Created at: March 30, 2026, 6:53 p.m.