Triple

T12249686
Position Surface form Disambiguated ID Type / Status
Subject Tanunda E291938 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Angaston E294380 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: Angaston | Statement: [Tanunda, hasNearbyLocality, Angaston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angaston
Context triple: [Tanunda, hasNearbyLocality, Angaston]
  • A. Angaston chosen
    Angaston is a historic township in South Australia's Barossa wine region, known for its vineyards, heritage buildings, and role in the area's wine and food tourism.
  • B. Aokautere
    Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
  • C. Rungata
    Rungata is a village settlement on the island of Nikunau in the Republic of Kiribati, located in the central Pacific Ocean.
  • D. Waitaha
    Waitaha is a Māori iwi (tribe) of Aotearoa New Zealand with ancestral connections to the southern regions, including the area now encompassed by Rakiura National Park.
  • E. Waitahuna
    Waitahuna is a small rural settlement in the Otago region of New Zealand, historically associated with gold mining and farming.
  • 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_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.