Triple

T17287643
Position Surface form Disambiguated ID Type / Status
Subject Antalya old harbor E419700 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: [Antalya old harbor, locatedIn, Kaleiçi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaleiçi
Context triple: [Antalya old harbor, 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. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • C. Kleiza
    Kleiza is the surname of Lithuanian former professional basketball player Linas Kleiza, who played in the NBA and for top European clubs.
  • D. Koukouli
    Koukouli is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountain setting.
  • E. Kalaiya
    Kalaiya is a city in southern Nepal that serves as an important local administrative and commercial center within Madhesh Province.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43780fad88190b82193c8335e2f11 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.