Triple

T22145236
Position Surface form Disambiguated ID Type / Status
Subject Akhisar E547269 entity
Predicate regionHistoricallyKnownAs P28982 FINISHED
Object Lydia NE NERFINISHED

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: Lydia | Statement: [Akhisar, regionHistoricallyKnownAs, Lydia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia
Context triple: [Akhisar, regionHistoricallyKnownAs, Lydia]
  • A. Lydia chosen
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • B. Lydia
    Lydia is the youngest and most impulsive of the Bennet sisters in Jane Austen's novel "Pride and Prejudice."
  • C. Lydia
    Lydia is a feminine given name of Greek origin, historically associated with the ancient region of Lydia and often interpreted to mean "woman from Lydia" or "beautiful one."
  • D. Lydia
    Lydia is a supporting character in the romantic comedy film "The Other Woman," contributing to the movie’s intertwined story of infidelity and female camaraderie.
  • E. Lydia
    Lydia is the central protagonist of the Dutch film "Golden Earrings," around whom the story’s main drama and character development revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.