Triple

T11421235
Position Surface form Disambiguated ID Type / Status
Subject Lembata E270623 entity
Predicate hasIslandNeighbor P5416 FINISHED
Object Flores E29474 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: Flores | Statement: [Lembata, hasIslandNeighbor, Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores
Context triple: [Lembata, hasIslandNeighbor, Flores]
  • A. Flores
    Flores is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
  • B. Flores
    Flores is a historic island city in northern Guatemala known for its colonial architecture and as a gateway to the nearby Maya ruins of Tikal.
  • C. Flores
    Flores is a traditional residential neighborhood in the western part of Buenos Aires, Argentina, known for its historic churches, busy commercial avenues, and role as a major middle-class district of the city.
  • D. Flores chosen
    Flores is a large island in eastern Indonesia known for its volcanic landscapes, traditional villages, and proximity to Komodo National Park with its famous Komodo dragons.
  • E. Flores Island
    Flores Island is a remote, lushly vegetated island in the western Azores archipelago of Portugal, known for its dramatic cliffs, waterfalls, and crater lakes.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603e6614c8190b61691bd933fa529 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:34 p.m.