Triple

T7175673
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M29 line
The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
E667942 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: M29 line | Statement: [Istanbul Metro, hasLine, M29 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M29 line
Context triple: [Istanbul Metro, hasLine, M29 line]
  • A. M9 line
    The M9 line is a rapid transit route within the Istanbul Metro system serving the city’s European side.
  • B. M26 line
    The M26 line is a planned metro route within the Istanbul Metro network intended to expand rapid transit service in the city.
  • C. M22 line
    The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
  • D. M27 line
    The M27 line is a planned rapid transit route within the Istanbul Metro network designed to expand urban rail connectivity in the city.
  • E. S29 line
    The S29 line is a regional commuter rail service within the Zürich S-Bahn network, connecting suburban and outlying areas with the greater Zürich region.
  • 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: M29 line
Triple: [Istanbul Metro, hasLine, M29 line]
Generated description
The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M29 line
Target entity description: The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • A. M9 line
    The M9 line is a rapid transit route within the Istanbul Metro system serving the city’s European side.
  • B. M26 line
    The M26 line is a planned metro route within the Istanbul Metro network intended to expand rapid transit service in the city.
  • C. M22 line
    The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
  • D. M27 line
    The M27 line is a planned rapid transit route within the Istanbul Metro network designed to expand urban rail connectivity in the city.
  • E. S29 line
    The S29 line is a regional commuter rail service within the Zürich S-Bahn network, connecting suburban and outlying areas with the greater Zürich region.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88ec6a8819083cbc3f4c39b8c79 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c4097d88190b00a8c64ce6871e5 completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83dc79fd88190ad3be8d613a6918b completed March 28, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69c83e9189e4819093a8fe97895e2f9f completed March 28, 2026, 8:48 p.m.
Created at: March 27, 2026, 2:48 p.m.