Triple

T13903338
Position Surface form Disambiguated ID Type / Status
Subject Hangzhou Metro E334282 entity
Predicate hasLine P35 FINISHED
Object Line 4
Line 4 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
E1068771 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 4 | Statement: [Hangzhou Metro, hasLine, Line 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 4
Context triple: [Hangzhou Metro, hasLine, Line 4]
  • A. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • B. Line 4
    Line 4 is a proposed circular metro line intended to complete and expand the Seville Metro network in Seville, Spain.
  • C. Line 4
    Line 4 is a rapid transit line of the Barcelona Metro network that serves several central and coastal neighborhoods in the city.
  • D. Line 4
    Line 4 is a route of the Tunis Metro light rail network serving parts of the Tunis metropolitan area in Tunisia.
  • E. Line 4
    Line 4 is a major north–south route of the Seoul Metropolitan Subway system, connecting central Seoul with surrounding suburban areas.
  • 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 4
Triple: [Hangzhou Metro, hasLine, Line 4]
Generated description
Line 4 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 4
Target entity description: Line 4 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
  • A. Line 4
    Line 4 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's urban rail network.
  • B. Line 4
    Line 4 is a rapid transit line of the Nanjing Metro system in Nanjing, China, serving as one of the city's main urban rail corridors.
  • C. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • D. Line 4
    Line 4 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving key urban and suburban areas along its north–south corridor.
  • E. Line 4
    Line 4 is a circular rapid transit route of the Shanghai Metro system that loops around central districts and provides key transfer connections across 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c722e72081909090b2d64000ebd9 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c83a3e04819097b6e0b5a3161b9a completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:16 p.m.