Triple

T17162466
Position Surface form Disambiguated ID Type / Status
Subject Nidri Beach E416514 entity
Predicate locatedIn P40 FINISHED
Object Nidri E398777 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: Nidri | Statement: [Nidri Beach, locatedIn, Nidri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nidri
Context triple: [Nidri Beach, locatedIn, Nidri]
  • A. Nidri chosen
    Nidri is a popular seaside resort town on the eastern coast of the Greek island of Lefkada, known for its scenic bay, nearby islets, and vibrant tourist amenities.
  • B. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • C. Nadsiannia
    Nadsiannia is a historical and ethnographic region of Eastern Europe associated with Ukrainian highlander culture and situated near the Lemko region.
  • D. Nivy
    Nivy is a district of Bratislava, Slovakia, known for its central location, major transport hub, and commercial-residential developments.
  • E. Nisgha
    Nisgha is an alternate name for the Nisga’a language, an indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91316108190b0d856d6fa5cd509 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc687788190864fa3922a31184d completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.