Triple

T4179165
Position Surface form Disambiguated ID Type / Status
Subject Hıdırlık Tower E86550 entity
Predicate locatedIn P40 FINISHED
Object Kaleiçi E86548 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: Kaleiçi | Statement: [Hıdırlık Tower, locatedIn, Kaleiçi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaleiçi
Context triple: [Hıdırlık Tower, locatedIn, Kaleiçi]
  • A. Kaleiçi chosen
    Kaleiçi is the historic old town of Antalya, Turkey, known for its preserved Ottoman-era houses, narrow cobbled streets, and ancient harbor.
  • B. Koukouli
    Koukouli is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountain setting.
  • C. Kara
    Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
  • D. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • E. Kala
    Kala is the critically acclaimed 2007 studio album by British-Sri Lankan artist M.I.A., known for its eclectic global influences and politically charged themes.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af030114c88190b725908a32ace750 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f5864881909c9fc787dd9b2341 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.