Triple

T16885554
Position Surface form Disambiguated ID Type / Status
Subject Karapiro Dam E421529 entity
Predicate nearbySettlement P350 FINISHED
Object Karapiro E979628 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: Karapiro | Statement: [Karapiro Dam, nearbySettlement, Karapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karapiro
Context triple: [Karapiro Dam, nearbySettlement, Karapiro]
  • A. Karapiro chosen
    Karapiro is a rural lakeside community in New Zealand’s Waikato region, best known for Lake Karapiro, a major venue for rowing and water sports.
  • B. Kawhia
    Kawhia is a coastal settlement and harbour on the west coast of New Zealand’s North Island, historically significant as a Māori stronghold and ancestral home of several iwi.
  • C. Pitoa
    Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
  • D. Tirau
    Tirau is a small rural town in New Zealand’s Waikato region, known for its corrugated iron art buildings and role as a key junction on State Highway 1.
  • E. Ninhue
    Ninhue is a rural commune and town in the Ñuble Region of central Chile, known for its agricultural activities and traditional Chilean culture.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc00cf8819088a08ddb00cd3c96 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.