Triple

T7175683
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M39 line
The M39 line is a route within the Istanbul Metro system that serves as part of the city's rapid transit network.
 E674388 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: M39 line | Statement: [Istanbul Metro, hasLine, M39 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M39 line
Context triple: [Istanbul Metro, hasLine, M39 line]
  • A. M29 line
    The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • B. M19 line
    The M19 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: M39 line
Triple: [Istanbul Metro, hasLine, M39 line]
Generated description
The M39 line is a 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: M39 line
Target entity description: The M39 line is a route within the Istanbul Metro system that serves as part of the city's rapid transit network.
  • A. M29 line
    The M29 line is a metro line within the Istanbul Metro rapid transit network in Istanbul, Turkey.
  • B. M19 line
    The M19 line is a rapid transit route within the Istanbul Metro system serving commuters in Turkey’s largest city.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c861296e5c8190aa2a189e71963de9 completed March 28, 2026, 11:15 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 2:48 p.m.