Triple

T15788851
Position Surface form Disambiguated ID Type / Status
Subject San Blas-Canillejas E382808 entity
Predicate hasMetroLine P17559 FINISHED
Object Line 7
Line 7 is a major line of the Madrid Metro that runs across the city, connecting various residential districts with central and peripheral areas.
E1178281 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 7 | Statement: [San Blas-Canillejas, hasMetroLine, Line 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 7
Context triple: [San Blas-Canillejas, hasMetroLine, Line 7]
  • A. Line 7
    Line 7 is an east–west rapid transit line of the Beijing Subway serving several central and southwestern districts of Beijing.
  • B. Line 7
    Line 7 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou and its surrounding areas.
  • C. Line 7
    Line 7 is a major rapid transit route of the Shanghai Metro that runs in a roughly north–south direction, connecting several key residential, commercial, and cultural areas across the city.
  • D. Line 7
    Line 7 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving several key districts across the city.
  • E. Line 7
    Line 7 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 7
Triple: [San Blas-Canillejas, hasMetroLine, Line 7]
Generated description
Line 7 is a major line of the Madrid Metro that runs across the city, connecting various residential districts with central and peripheral areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 7
Target entity description: Line 7 is a major line of the Madrid Metro that runs across the city, connecting various residential districts with central and peripheral areas.
  • A. Line 7
    Line 7 is one of the main lines of the Mexico City Metro system, running across the city on a predominantly underground route and connecting several key neighborhoods and transfer stations.
  • B. Line 7
    Line 7 is a major rapid transit route of the Shanghai Metro that runs in a roughly north–south direction, connecting several key residential, commercial, and cultural areas across the city.
  • C. Line 7
    Line 7 is a line of the Moscow Metro system, known as the Tagansko-Krasnopresnenskaya Line, serving various districts across the city.
  • D. Line 7
    Line 7 is a major route of the Seoul Metropolitan Subway system that runs in a north–south diagonal across the city, connecting residential districts with key urban hubs.
  • E. Line 7
    Line 7 is one of the main lines of the Paris Métro, running in a north–south axis and serving numerous central and eastern districts of the city.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998981088190b9ce9d99c0481e21 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a215e7c8190a2b40fb027a38317 completed May 9, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff9a77d6d88190817158c30c56d70c completed May 9, 2026, 8:35 p.m.
Created at: April 10, 2026, 4:48 a.m.