Triple

T7175684
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M40 line
The M40 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
 E648169 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: M40 line | Statement: [Istanbul Metro, hasLine, M40 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M40 line
Context triple: [Istanbul Metro, hasLine, M40 line]
  • A. M4 line
    The M4 line is a rapid transit route within the Ankara Metro system serving passengers in Turkey’s capital city.
  • B. M34 line
    The M34 line is a rapid transit route within the Istanbul Metro system that serves as part of the city's urban rail network.
  • C. M20 line
    The M20 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail network.
  • D. M32 line
    The M32 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • E. M3 line
    The M3 line is a rapid transit route within the Ankara Metro system serving parts of Turkey’s capital city.
  • 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: M40 line
Triple: [Istanbul Metro, hasLine, M40 line]
Generated description
The M40 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M40 line
Target entity description: The M40 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
  • A. M4 line
    The M4 line is a rapid transit route within the Ankara Metro system serving passengers in Turkey’s capital city.
  • B. M34 line
    The M34 line is a rapid transit route within the Istanbul Metro system that serves as part of the city's urban rail network.
  • C. M20 line
    The M20 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail network.
  • D. M32 line
    The M32 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • E. M3 line
    The M3 line is a rapid transit route within the Ankara Metro system serving parts of Turkey’s capital 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_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_69c7bf8a5d7c8190a7b52d46529dacb7 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c0116fc081908a9a5facb3a6bcd6 completed March 28, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7c073b6208190b2983b6eae0ddcd3 completed March 28, 2026, 11:50 a.m.
Created at: March 27, 2026, 2:48 p.m.