Triple

T22106131
Position Surface form Disambiguated ID Type / Status
Subject Central Province, Papua New Guinea E546290 entity
Predicate containsTown P847 FINISHED
Object Tapini 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: Tapini | Statement: [Central Province, Papua New Guinea, containsTown, Tapini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapini
Context triple: [Central Province, Papua New Guinea, containsTown, Tapini]
  • A. Tapini chosen
    Tapini is a small highland town in Papua New Guinea known as the administrative center of the Goilala District in Central Province.
  • B. Tapul
    Tapul is a small island municipality in the province of Sulu in the southern Philippines.
  • C. Tapiau
    Tapiau is a historic town in former East Prussia (now Gvardeysk in Russia’s Kaliningrad Oblast) known for its medieval origins and Teutonic Order connections.
  • D. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • E. Taperoo
    Taperoo is a coastal suburb in Adelaide, South Australia, known for its residential areas and proximity to Gulf St Vincent.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.