Triple

T13391514
Position Surface form Disambiguated ID Type / Status
Subject Ngulu Atoll E319582 entity
Predicate hasSettlement P1068 FINISHED
Object Ngulu E1041027 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: Ngulu | Statement: [Ngulu Atoll, hasSettlement, Ngulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngulu
Context triple: [Ngulu Atoll, hasSettlement, Ngulu]
  • A. Ngulu chosen
    Ngulu is a small inhabited island in the Ngulu Atoll of the Federated States of Micronesia, serving as the main settlement and administrative center of the atoll.
  • B. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • C. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • D. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • E. Nguiu
    Nguiu is the former name of Wurrumiyanga, a community on Bathurst Island in Australia's Northern Territory that is home to Tiwi people.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d543348190a9c1be509b015c0f completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461b0dd481908719fc4657bb92bb completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:34 p.m.