Triple

T12254241
Position Surface form Disambiguated ID Type / Status
Subject Tahurangi E292057 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Turangi E290325 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: Turangi | Statement: [Tahurangi, hasNearbySettlement, Turangi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turangi
Context triple: [Tahurangi, hasNearbySettlement, Turangi]
  • A. Turangi chosen
    Turangi is a small town in New Zealand’s central North Island, known as a gateway to Tongariro National Park and popular for trout fishing and outdoor recreation.
  • B. Runga
    Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
  • C. Rangi
    Rangi is a Bantu language spoken primarily in north-central Tanzania.
  • D. Poutoru
    Poutoru is the principal village and administrative center of the island of Taha'a in French Polynesia.
  • E. Tuatapere
    Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.