Triple

T15852365
Position Surface form Disambiguated ID Type / Status
Subject Gelibolu E384371 entity
Predicate locatedNear P294 FINISHED
Object Çanakkale E161750 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: Çanakkale | Statement: [Gelibolu, locatedNear, Çanakkale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çanakkale
Context triple: [Gelibolu, locatedNear, Çanakkale]
  • A. Çatalca
    Çatalca is a rural district on the western outskirts of Istanbul, known for its forests, farmland, and historical fortifications forming part of the city’s traditional land defenses.
  • B. Çanakkale Province chosen
    Çanakkale Province is a northwestern Turkish province of major historical and strategic importance, encompassing the Gallipoli Peninsula and controlling the Dardanelles strait between the Aegean Sea and the Sea of Marmara.
  • C. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • D. Demirköprü
    Demirköprü is a neighborhood within the Karşıyaka district of İzmir, Turkey.
  • E. Denizli
    Denizli is a major industrial and commercial city in western Turkey, known for its textile production and proximity to the famous Pamukkale travertine terraces.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caddd2c8190859b2926b0e1ad35 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:50 a.m.