Triple

T7175661
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M17 line
The M17 line is a rapid transit route within the Istanbul Metro system serving passengers in Turkey’s largest city.
 E669396 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: M17 line | Statement: [Istanbul Metro, hasLine, M17 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M17 line
Context triple: [Istanbul Metro, hasLine, M17 line]
  • A. M11 line
    The M11 line is a rapid transit route of the Istanbul Metro system that connects the city center with Istanbul Airport and other northern districts.
  • B. M14 line
    The M14 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • C. M7 line
    The M7 line is a fully automated rapid transit route in the Istanbul Metro system that serves the city’s European side.
  • D. M8 line
    The M8 line is a rapid transit route within the Istanbul Metro system that serves as one of the city’s key urban rail corridors.
  • E. M4 line
    The M4 line is a rapid transit route of the Istanbul Metro system serving the city’s Asian side.
  • 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: M17 line
Triple: [Istanbul Metro, hasLine, M17 line]
Generated description
The M17 line is a rapid transit route within the Istanbul Metro system serving passengers in Turkey’s largest city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M17 line
Target entity description: The M17 line is a rapid transit route within the Istanbul Metro system serving passengers in Turkey’s largest city.
  • A. M11 line
    The M11 line is a rapid transit route of the Istanbul Metro system that connects the city center with Istanbul Airport and other northern districts.
  • B. M14 line
    The M14 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • C. M7 line
    The M7 line is a fully automated rapid transit route in the Istanbul Metro system that serves the city’s European side.
  • D. M8 line
    The M8 line is a rapid transit route within the Istanbul Metro system that serves as one of the city’s key urban rail corridors.
  • E. M4 line
    The M4 line is a rapid transit route within the Ankara Metro system serving passengers in 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_69c845d90b48819081280063dcaafad7 completed March 28, 2026, 9:19 p.m.
NEDg Description generation batch_69c846b326088190b93a32c70bcc97ca completed March 28, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c8479490688190bc56b5a21d779b18 completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 2:48 p.m.