Triple

T11978403
Position Surface form Disambiguated ID Type / Status
Subject Western Anatolia E285093 entity
Predicate hasMajorCity P316 FINISHED
Object Manisa E332946 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: Manisa | Statement: [Western Anatolia, hasMajorCity, Manisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manisa
Context triple: [Western Anatolia, hasMajorCity, Manisa]
  • A. Manisa chosen
    Manisa is a historic city in western Turkey known for its agricultural production, especially grapes and olives, and its proximity to the Aegean coast.
  • B. Isparta
    Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
  • C. Akhisar
    Akhisar is a town in western Turkey that occupies the site of the ancient city of Thyatira, one of the early centers of Christianity in Asia Minor.
  • D. Gedera
    Gedera is a town in central Israel known for its agricultural roots and diverse immigrant communities.
  • E. Bergama
    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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471f6afc48190856a0f7c486b28aa completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.