Triple

T9344546
Position Surface form Disambiguated ID Type / Status
Subject Ellice Islands E224851 entity
Predicate hasIsland P970 FINISHED
Object Niutao E613028 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: Niutao | Statement: [Ellice Islands, hasIsland, Niutao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niutao
Context triple: [Ellice Islands, hasIsland, Niutao]
  • A. Niutao chosen
    Niutao is a small coral atoll in Tuvalu known as one of the country’s traditional island communities and cultural homelands.
  • B. Atafu
    Atafu is one of the three main atolls of Tokelau in the South Pacific Ocean, serving as a key population and administrative center for the territory.
  • C. Pa'a
    Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
  • D. Patonga
    Patonga is a small coastal village on the New South Wales Central Coast known for its quiet beaches, fishing, and proximity to surrounding national parkland.
  • E. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3c197208190bde7850de266fdf0 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:40 p.m.