Triple

T7175679
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M35 line
The M35 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
 E672933 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: M35 line | Statement: [Istanbul Metro, hasLine, M35 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M35 line
Context triple: [Istanbul Metro, hasLine, M35 line]
  • A. 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.
  • B. M3 line
    The M3 line is a rapid transit route within the Ankara Metro system serving parts of Turkey’s capital city.
  • C. M30 line
    The M30 line is a rapid transit route within the Istanbul Metro system serving passengers across parts of Istanbul, Turkey.
  • D. M29 line
    The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • E. M32 line
    The M32 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest 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: M35 line
Triple: [Istanbul Metro, hasLine, M35 line]
Generated description
The M35 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: M35 line
Target entity description: The M35 line is a metro route within the Istanbul Metro system that serves as part of the city's rapid transit network.
  • A. 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.
  • B. M3 line
    The M3 line is a rapid transit route within the Ankara Metro system serving parts of Turkey’s capital city.
  • C. M30 line
    The M30 line is a rapid transit route within the Istanbul Metro system serving passengers across parts of Istanbul, Turkey.
  • D. M29 line
    The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • E. M32 line
    The M32 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest 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_69c8569fbf4081909897b0e5456cd66a completed March 28, 2026, 10:30 p.m.
NEDg Description generation batch_69c857ca74808190968fe68a0e4cc77b completed March 28, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69c858184a0c81909ce2789371e37c05 completed March 28, 2026, 10:37 p.m.
Created at: March 27, 2026, 2:48 p.m.