Triple

T17212783
Position Surface form Disambiguated ID Type / Status
Subject Kemer E417772 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Tekirova E1240877 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: Tekirova | Statement: [Kemer, hasNearbyAttraction, Tekirova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekirova
Context triple: [Kemer, hasNearbyAttraction, Tekirova]
  • A. Tekirova chosen
    Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
  • B. Tirokiaba
    Tirokiaba is a settlement located on Santa Isabel Island in the Solomon Islands.
  • C. Tekov
    Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • D. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • E. Munirka
    Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc68a2c81908564231853b40db9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674fadc48190aa4a627ec9f72341 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.