Triple

T7823093
Position Surface form Disambiguated ID Type / Status
Subject Mount Egon E181179 entity
Predicate locatedOn P40 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: [Mount Egon, locatedOn, Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores
Context triple: [Mount Egon, locatedOn, Flores]
  • A. 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.
  • 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 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.
  • D. Laut Flores
    Laut Flores, or the Flores Sea, is a marginal sea in Indonesia known for its deep basins, rich marine biodiversity, and location among the Lesser Sunda Islands.
  • E. Lesser Sunda Islands
    The Lesser Sunda Islands are a chain of islands in southeastern Indonesia, east of Java and Bali, known for their diverse cultures, active volcanoes, and rich marine biodiversity.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd04f80fc8190aae7c4823ddecb4a completed April 3, 2026, 2:35 p.m.
Created at: March 30, 2026, 4:42 p.m.