Triple

T15852162
Position Surface form Disambiguated ID Type / Status
Subject northwestern Turkey E384366 entity
Predicate hasMajorCity P316 FINISHED
Object Tekirdağ E166458 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: Tekirdağ | Statement: [northwestern Turkey, hasMajorCity, Tekirdağ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekirdağ
Context triple: [northwestern Turkey, hasMajorCity, Tekirdağ]
  • A. Kırklareli
    Kırklareli is a city in northwestern Turkey known for its location near the Bulgarian border, agricultural economy, and historical Ottoman-era architecture.
  • B. Tekirdağ Province chosen
    Tekirdağ Province is a region in northwestern Turkey known for its coastal location along the Sea of Marmara, agricultural production, and growing industrial and port activities.
  • C. Edirne Vilayet
    Edirne Vilayet was an administrative province of the late Ottoman Empire centered on the city of Edirne in the European (Rumelian) part of the empire.
  • D. Balıkesir
    Balıkesir is a city in northwestern Turkey known for its agricultural economy, proximity to both the Marmara and Aegean seas, and role as the administrative center of Balıkesir Province.
  • E. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • 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_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 4:50 a.m.