Triple

T22614439
Position Surface form Disambiguated ID Type / Status
Subject Punat Bay E566803 entity
Predicate nearestTown P350 FINISHED
Object Punat 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: Punat | Statement: [Punat Bay, nearestTown, Punat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punat
Context triple: [Punat Bay, nearestTown, Punat]
  • A. Punat chosen
    Punat is a coastal town and popular tourist resort on the island of Krk in Croatia, known for its marina and proximity to the islet of Košljun.
  • B. Punhete
    Punhete is the former name of the Portuguese town and municipality now known as Constância, located at the confluence of the Zêzere and Tagus rivers in central Portugal.
  • C. Punan
    The Punan are an indigenous Dayak people of Borneo traditionally known as semi-nomadic hunter-gatherers of the island’s interior rainforests.
  • D. Pouni
    Pouni is a town in the Reasi district of the Jammu and Kashmir region of India, serving as one of its local commercial and administrative centers.
  • E. Punnun
    Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ecc7188190bf41fe2177d48e6c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.