Triple

T3809139
Position Surface form Disambiguated ID Type / Status
Subject Brava E93086 entity
Predicate hasSettlement P1068 FINISHED
Object Furna E339386 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: Furna | Statement: [Brava, hasSettlement, Furna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furna
Context triple: [Brava, hasSettlement, Furna]
  • A. Aitna
    Aitna is a primordial Greek mountain deity associated with Mount Etna and the volcanic forces of the earth.
  • B. Baturité
    Baturité is a municipality in the state of Ceará in northeastern Brazil, known for its mountainous terrain and relatively mild climate.
  • C. Loutra Nisyrou
    Loutra Nisyrou is a coastal village and spa area on the Greek island of Nisyros, known for its therapeutic thermal springs and seaside baths.
  • D. Furna do Enxofre lava cave chosen
    Furna do Enxofre lava cave is a large volcanic cavern in the Azores known for its impressive underground dome, sulfurous fumaroles, and unique geothermal landscape.
  • E. Folgefonna
    Folgefonna is one of Norway’s largest glacier systems, covering much of the Folgefonna peninsula in Vestland county and forming a prominent natural landmark in western Norway.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80c7fc48190b5c2400918bba5c2 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb33db9c81908b462ee80aaaad34 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.