Triple

T845678
Position Surface form Disambiguated ID Type / Status
Subject Mexico City Metro E18271 entity
Predicate hasLine P35 FINISHED
Object 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.
 E100154 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: [Mexico City Metro, hasLine, Line 12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 12
Context triple: [Mexico City Metro, hasLine, Line 12]
  • A. Line 13
    Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
  • B. Line 14
    Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
  • C. Line 15
    Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
  • D. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • E. Line 10
    Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in 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: [Mexico City Metro, hasLine, Line 12]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 12
Target entity description: 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.
  • A. Line 13
    Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
  • B. Line 14
    Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
  • C. Line 15
    Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
  • D. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • E. Line 10
    Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0a91e48190b4349ae8bb67fd90 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929e65d08190bcea03f581288cc4 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a7937c2ce481908c04e08e2be02985 completed March 4, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a79761ee34819094a0558ef195d8a0 completed March 4, 2026, 2:22 a.m.
Created at: March 1, 2026, 7:38 p.m.