Triple

T4994304
Position Surface form Disambiguated ID Type / Status
Subject Thyatira E112206 entity
Predicate presentLocation P40 FINISHED
Object Akhisar 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: Akhisar | Statement: [Thyatira, presentLocation, Akhisar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhisar
Context triple: [Thyatira, presentLocation, Akhisar]
  • 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. Gedera
    Gedera is a town in central Israel known for its agricultural roots and diverse immigrant communities.
  • C. Isparta
    Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
  • D. Karapınar
    Karapınar is a district and town in central Turkey known for its arid landscape, sand dunes, and sinkholes within Konya Province.
  • E. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729e9fb48190a467b6a373a73367 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c54ff088190b1be52c080ebb02d completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:34 p.m.