Triple

T7175671
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object 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.
 E654722 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: M27 line | Statement: [Istanbul Metro, hasLine, M27 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M27 line
Context triple: [Istanbul Metro, hasLine, M27 line]
  • A. M21 line
    The M21 line is a rapid transit route within the Istanbul Metro system serving passengers in Istanbul, Turkey.
  • B. 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.
  • C. M24 line
    The M24 line is a rapid transit route within the Istanbul Metro system serving passengers in Turkey’s largest city.
  • D. 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.
  • E. M47 line
    The M47 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail 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: M27 line
Triple: [Istanbul Metro, hasLine, M27 line]
Generated description
The M27 line is a planned rapid transit route within the Istanbul Metro network designed to expand urban rail connectivity in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M27 line
Target entity description: The M27 line is a planned rapid transit route within the Istanbul Metro network designed to expand urban rail connectivity in the city.
  • A. M21 line
    The M21 line is a rapid transit route within the Istanbul Metro system serving passengers in Istanbul, Turkey.
  • B. 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.
  • C. M24 line
    The M24 line is a rapid transit route within the Istanbul Metro system serving passengers in Turkey’s largest city.
  • D. 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.
  • E. M47 line
    The M47 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail 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_69c7e516e3708190b4025e1a5e22d537 completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e64cdce48190884b3c5e2ceaf60e completed March 28, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6ac5dd08190bb84259cbb44cba9 completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 2:48 p.m.