Triple

T9748007
Position Surface form Disambiguated ID Type / Status
Subject Atiu E236365 entity
Predicate hasSettlement P1068 FINISHED
Object Areora E818346 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: Areora | Statement: [Atiu, hasSettlement, Areora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Areora
Context triple: [Atiu, hasSettlement, Areora]
  • A. Areora chosen
    Areora is a small village on the island of Mauke in the Cook Islands, known for its traditional Polynesian community and rural setting.
  • B. Ooralea
    Ooralea is a suburban locality within Queensland’s Mackay Region, known for its residential areas and proximity to the city of Mackay.
  • C. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • D. Ermera
    Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
  • E. Alope
    Alope is a figure in Greek mythology, known as the daughter of Cercyon who was loved by the sea god Poseidon and transformed into a spring or a sea creature after her tragic death.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23cd89d1c8190aedab60e3f5088b3 completed April 5, 2026, 10:43 a.m.
Created at: March 30, 2026, 8:23 p.m.