Triple

T1738892
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Faro E37983 entity
Predicate hasIsland P970 FINISHED
Object Ilha do Farol E211392 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: Ilha do Farol | Statement: [Municipality of Faro, hasIsland, Ilha do Farol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilha do Farol
Context triple: [Municipality of Faro, hasIsland, Ilha do Farol]
  • A. Marchena Island
    Marchena Island is an uninhabited volcanic island in the northern Galápagos archipelago, known for its remote location, rugged lava landscapes, and rich marine life.
  • B. Spinnaker Island
    Spinnaker Island is a small artificial island located within Lake Burley Griffin in Canberra, Australia.
  • C. Ilha da Barreta chosen
    Ilha da Barreta is a remote, uninhabited barrier island in Portugal’s Algarve region, known for its long, pristine sandy beach and protected natural environment within the Ria Formosa lagoon system.
  • D. Ilha do Monteiro
    Ilha do Monteiro is an island district within the coastal Brazilian city of Recife, known for its urban setting amid the city’s network of rivers and estuaries.
  • E. Moon Island
    Moon Island is a small, historically significant island in Boston Harbor that has served various municipal and military uses, including as a training site and former sewage treatment facility.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c35aec8190b5c19ace5524173f completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12dd43d248190b5918548c1b37a4e completed March 11, 2026, 8:54 a.m.
Created at: March 4, 2026, 7:30 p.m.