Triple

T18429241
Position Surface form Disambiguated ID Type / Status
Subject Haruru Falls E450218 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Haruru NE NERFINISHED

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: Haruru | Statement: [Haruru Falls, hasNearbySettlement, Haruru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haruru
Context triple: [Haruru Falls, hasNearbySettlement, Haruru]
  • A. Haruru chosen
    Haruru is a small settlement in New Zealand’s Bay of Islands region, known for its scenic surroundings and proximity to Haruru Falls.
  • B. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • C. Araria
    Araria is a town and administrative headquarters of Araria district in the northeastern part of the Indian state of Bihar, near the border with Nepal.
  • D. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • E. Shumshu
    Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b15e2e081908c96c5678ff4b941 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:25 a.m.