Triple

T23109242
Position Surface form Disambiguated ID Type / Status
Subject Pag archipelago E576268 entity
Predicate hasIsland P970 FINISHED
Object Premuda 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: Premuda | Statement: [Pag archipelago, hasIsland, Premuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Premuda
Context triple: [Pag archipelago, hasIsland, Premuda]
  • A. Premuda chosen
    Premuda is a small Croatian island in the Adriatic Sea, known for its clear waters, diving sites, and tranquil, sparsely populated environment.
  • B. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • C. Pojuca
    Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
  • D. Morolica
    Morolica is a small municipality located in the Choluteca Department of southern Honduras, known for its rural character and agricultural activities.
  • E. Udava
    Udava is a river in eastern Slovakia that serves as a tributary of the Laborec River.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.