Triple

T6674763
Position Surface form Disambiguated ID Type / Status
Subject Nukuoro language E151822 entity
Predicate hasAlternativeName P39 FINISHED
Object Nukuoro E232896 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: Nukuoro | Statement: [Nukuoro language, hasAlternativeName, Nukuoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nukuoro
Context triple: [Nukuoro language, hasAlternativeName, Nukuoro]
  • A. Nukuoro chosen
    Nukuoro is a remote Polynesian outlier atoll in the Federated States of Micronesia whose inhabitants speak a Polynesian language and maintain distinct Polynesian cultural traditions.
  • B. Tayauh
    Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
  • C. Hulhumalé
    Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
  • D. Nukunonu
    Nukunonu is one of the three atolls of Tokelau in the South Pacific Ocean, serving as an important administrative and population center of the territory.
  • E. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a30b7481908c36ff9035f62731 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.