Triple

T8265772
Position Surface form Disambiguated ID Type / Status
Subject Greater Malé urban area E193297 entity
Predicate contains P35 FINISHED
Object Hulhulé E627773 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: Hulhulé | Statement: [Greater Malé urban area, contains, Hulhulé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hulhulé
Context triple: [Greater Malé urban area, contains, Hulhulé]
  • A. Hulhulé chosen
    Hulhulé is an island in the Maldives best known for hosting Velana International Airport, the main gateway to the capital Malé and the rest of the country.
  • B. Lake Tagimoucia
    Lake Tagimoucia is a crater lake on the Fijian island of Taveuni, famed as the only natural habitat of the rare Tagimoucia flower.
  • C. Marot
    Marot is a French surname most notably associated with the Renaissance poet Clément Marot.
  • D. Ébrié Lagoon
    Ébrié Lagoon is a large coastal lagoon in southern Côte d'Ivoire that forms the aquatic backdrop to Abidjan and serves as a key hub for fishing, transport, and urban life.
  • E. Cuvette Centrale
    Cuvette Centrale is a vast, low-lying swamp and forest basin in the central Congo Basin, known for its extensive peatlands and rich 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:50 p.m.