Triple

T15806939
Position Surface form Disambiguated ID Type / Status
Subject Forresters Beach E383240 entity
Predicate near P350 FINISHED
Object Tumbi Umbi E1072107 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: Tumbi Umbi | Statement: [Forresters Beach, near, Tumbi Umbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumbi Umbi
Context triple: [Forresters Beach, near, Tumbi Umbi]
  • A. Tumbi Umbi chosen
    Tumbi Umbi is a suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to Tuggerah Lake.
  • B. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • C. Umbakumba
    Umbakumba is a small Indigenous community and settlement located on Groote Eylandt in the Gulf of Carpentaria, Northern Territory, Australia.
  • D. 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).
  • E. Tunduma
    Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.