Triple

T20072918
Position Surface form Disambiguated ID Type / Status
Subject Tayasal E499782 entity
Predicate modernAccessPoint P82826 FINISHED
Object Flores Island area 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: Flores Island area | Statement: [Tayasal, modernAccessPoint, Flores Island area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores Island area
Context triple: [Tayasal, modernAccessPoint, Flores Island area]
  • A. Flores Island chosen
    Flores Island is a remote, lushly vegetated island in the western Azores archipelago of Portugal, known for its dramatic cliffs, waterfalls, and crater lakes.
  • B. Flores
    Flores is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
  • C. Flores
    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.
  • D. 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.
  • E. 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.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664392c748190a6cc472f80b8c74b completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.