Triple

T14101374
Position Surface form Disambiguated ID Type / Status
Subject Luz E339387 entity
Predicate island P970 FINISHED
Object Graciosa E67777 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: Graciosa | Statement: [Luz, island, Graciosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graciosa
Context triple: [Luz, island, Graciosa]
  • A. Graciosa Island chosen
    Graciosa Island is a small, volcanic island in Portugal’s Azores archipelago, known for its gentle landscapes, traditional villages, and UNESCO-designated biosphere reserve.
  • B. Santa Cruz da Graciosa
    Santa Cruz da Graciosa is the main town and administrative center of Graciosa Island in Portugal’s Azores archipelago.
  • C. La Graciosa
    La Graciosa is a small, sparsely populated volcanic island known for its tranquil beaches and inclusion within the Chinijo Archipelago Natural Park off the coast of northwestern Africa.
  • D. Isla Carenero
    Isla Carenero is a small Caribbean island near Bocas Town in Panama’s Bocas del Toro archipelago, known for its laid-back beaches, surfing spots, and overwater accommodations.
  • E. Isla Cerralvo
    Isla Cerralvo is a sparsely inhabited Mexican island in the Gulf of California known for its rich marine life, sport fishing, and relatively untouched natural landscapes.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbd051c8190a89f9801a7b08b2d completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 10:22 p.m.