Triple

T7955202
Position Surface form Disambiguated ID Type / Status
Subject Savu Sea E184713 entity
Predicate near P350 FINISHED
Object Flores Island 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 Island | Statement: [Savu Sea, near, Flores Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flores Island
Context triple: [Savu Sea, near, Flores Island]
  • A. 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.
  • 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 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.
  • 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. Umboi Island
    Umboi Island is a volcanic island in Papua New Guinea, situated between the larger islands of New Britain and New Guinea within the Bismarck Sea.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b60e9508190ad9974ad551bcbc6 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bd623b88190aeecaa70f92e5c3c completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 5:11 p.m.