Triple

T7041989
Position Surface form Disambiguated ID Type / Status
Subject Pendik E163534 entity
Predicate locatedNear P294 FINISHED
Object Tuzla E180190 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: Tuzla | Statement: [Pendik, locatedNear, Tuzla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuzla
Context triple: [Pendik, locatedNear, Tuzla]
  • A. Tuzla
    Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
  • B. Tuzla chosen
    Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
  • C. Banja Luka
    Banja Luka is the second-largest city of Bosnia and Herzegovina and the administrative center of the Republika Srpska entity, known for its riverside setting, Austro-Hungarian architecture, and cultural life.
  • D. Jajce
    Jajce is a historic town in central Bosnia and Herzegovina known for its medieval fortress, picturesque waterfall, and key role in World War II as a political center of the Yugoslav resistance.
  • E. Dorćol
    Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
  • 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_69c7887141ac81909cb5e996a89e4ec5 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:36 p.m.