Triple

T13415408
Position Surface form Disambiguated ID Type / Status
Subject Bayraklı E313198 entity
Predicate governingBody P46 FINISHED
Object Bayraklı Municipality E313198 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: Bayraklı Municipality | Statement: [Bayraklı, governingBody, Bayraklı Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayraklı Municipality
Context triple: [Bayraklı, governingBody, Bayraklı Municipality]
  • A. Yenipazar Municipality
    Yenipazar Municipality is the local governing body responsible for administering the town of Yenipazar in Turkey’s Bilecik Province.
  • B. 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.
  • C. Balçova district
    Balçova district is a coastal urban area of İzmir, Turkey, known for its thermal springs, residential neighborhoods, and proximity to the city’s commercial and touristic zones.
  • D. Beykoz
    Beykoz is a green, waterfront district of Istanbul known for its forests, historic waterfront mansions, and scenic views along the Bosphorus.
  • E. Bayraklı chosen
    Bayraklı is a coastal district of İzmir, Turkey, known for its modern business centers, residential areas, and proximity to the city’s central urban core.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6419a3c8190bfaeab65f3909474 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:39 p.m.