Triple

T7450822
Position Surface form Disambiguated ID Type / Status
Subject Ruteng E172003 entity
Predicate locatedIn 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: [Ruteng, locatedIn, Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores
Context triple: [Ruteng, locatedIn, Flores]
  • A. 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.
  • B. 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.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38c28e08190956766a5222fe720 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc931ce9b081908a58fb3a54492e60 completed April 1, 2026, 3:38 a.m.
Created at: March 27, 2026, 3:14 p.m.