Triple

T7238567
Position Surface form Disambiguated ID Type / Status
Subject Blagnac E155294 entity
Predicate hasTwinTown P919 FINISHED
Object Bergama E315646 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: Bergama | Statement: [Blagnac, hasTwinTown, Bergama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergama
Context triple: [Blagnac, hasTwinTown, Bergama]
  • A. Bergama chosen
    Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
  • B. Adapazarı
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • C. Manavgat
    Manavgat is a coastal town and popular tourist district in southern Turkey, known for its river, waterfalls, and proximity to the ancient city of Side.
  • D. Boğazköy
    Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
  • E. Marmaraereğlisi
    Marmaraereğlisi is a coastal town and district on the northern shore of the Sea of Marmara in northwestern Turkey, known for its beaches and proximity to Istanbul.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a61718819088cc2d37818af4ca completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:55 p.m.