Triple

T7175665
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Metro E167312 entity
Predicate hasLine P35 FINISHED
Object M21 line
The M21 line is a rapid transit route within the Istanbul Metro system serving passengers in Istanbul, Turkey.
 E648167 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: M21 line | Statement: [Istanbul Metro, hasLine, M21 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M21 line
Context triple: [Istanbul Metro, hasLine, M21 line]
  • A. 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.
  • B. M2 line
    The M2 line is a fully automated metro line in Lausanne, Switzerland, running on a steep north–south route that connects the city center with surrounding districts and the lakeshore.
  • C. M2 line
    The M2 line is a major rapid transit route within the Ankara Metro system in Turkey, serving key districts of the capital city.
  • D. M2 line
    The M2 line is one of the main lines of the Helsinki Metro rapid transit system, serving key districts across the Helsinki metropolitan area.
  • E. M36 line
    The M36 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: M21 line
Triple: [Istanbul Metro, hasLine, M21 line]
Generated description
The M21 line is a rapid transit route within the Istanbul Metro system serving passengers in Istanbul, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M21 line
Target entity description: The M21 line is a rapid transit route within the Istanbul Metro system serving passengers in Istanbul, Turkey.
  • A. 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.
  • B. M2 line
    The M2 line is a fully automated metro line in Lausanne, Switzerland, running on a steep north–south route that connects the city center with surrounding districts and the lakeshore.
  • C. M2 line
    The M2 line is a major rapid transit route within the Ankara Metro system in Turkey, serving key districts of the capital city.
  • D. M2 line
    The M2 line is one of the main lines of the Helsinki Metro rapid transit system, serving key districts across the Helsinki metropolitan area.
  • E. M36 line
    The M36 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_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.