Triple

T16016482
Position Surface form Disambiguated ID Type / Status
Subject Pambula E388478 entity
Predicate hasNearbyLocality P3883 FINISHED
Object South Pambula E1133637 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: South Pambula | Statement: [Pambula, hasNearbyLocality, South Pambula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Pambula
Context triple: [Pambula, hasNearbyLocality, South Pambula]
  • A. South Pambula chosen
    South Pambula is a small rural town in the Bega Valley region of New South Wales, Australia, known for its agricultural surroundings and proximity to the coastal town of Pambula.
  • B. Morrumbene
    Morrumbene is a small town in southern Mozambique known for its rural character within Inhambane Province.
  • C. Ngambela
    Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
  • D. Mapusa
    Mapusa is a bustling commercial town in North Goa, India, known as a major market and transport hub near the popular beaches of the state.
  • E. Makarora
    Makarora is a small rural settlement in New Zealand’s South Island, known as a gateway to outdoor activities and hiking in the Southern Alps region.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.