Triple

T7042084
Position Surface form Disambiguated ID Type / Status
Subject Metro line M4 (Istanbul) E163536 entity
Predicate serves P98 FINISHED
Object Kartal district E195863 NE FINISHED

How this triple was built (2 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: Kartal district | Statement: [Metro line M4 (Istanbul), serves, Kartal district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kartal district
Context triple: [Metro line M4 (Istanbul), serves, Kartal district]
  • A. Şişli district
    Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
  • B. Kartal chosen
    Kartal is a coastal district on the Asian side of Istanbul, known for its residential neighborhoods, seaside promenade, and growing business and transportation hubs.
  • C. Ümraniye
    Ümraniye is a densely populated residential and commercial district located on the Asian side of Istanbul, Turkey.
  • D. Bakırköy district
    Bakırköy district is a populous residential and commercial district on Istanbul’s European side, known for its coastal location along the Sea of Marmara and major shopping and transport hubs.
  • E. Bayraklı district
    Bayraklı district is a coastal urban area of İzmir, Turkey, known for its modern business centers, high-rise buildings, and role as one of the city’s key commercial and residential hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23440e8819080963fe81cfa0695 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbc1b76081909094a9b2f215e58d completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:36 p.m.