Triple

T1453691
Position Surface form Disambiguated ID Type / Status
Subject Marmara Region E31349 entity
Predicate includesCity P3207 FINISHED
Object Bilecik E241016 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: Bilecik | Statement: [Marmara Region, includesCity, Bilecik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilecik
Context triple: [Marmara Region, includesCity, Bilecik]
  • A. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • B. Bursa
    Bursa is a major city in northwestern Turkey known historically as the first capital of the Ottoman Empire and today as an important industrial and cultural center.
  • C. Bilecik Province chosen
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • D. Sivas
    Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
  • E. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae6515d5f881908f89fa1d6377596e completed March 9, 2026, 6:13 a.m.
Created at: March 1, 2026, 8 p.m.