Triple

T7862172
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Province E182524 entity
Predicate hasDistrict P459 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: [Istanbul Province, hasDistrict, Tuzla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuzla
Context triple: [Istanbul Province, hasDistrict, 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:53 p.m.