Triple

T10895553
Position Surface form Disambiguated ID Type / Status
Subject Karratha E257298 entity
Predicate nearTown P2064 FINISHED
Object Dampier E264835 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: Dampier | Statement: [Karratha, nearTown, Dampier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dampier
Context triple: [Karratha, nearTown, Dampier]
  • A. Dampier chosen
    Dampier is a coastal industrial town in Western Australia known as a major export port for iron ore and other minerals from the Pilbara region.
  • B. La Perouse
    La Perouse is a coastal suburb in Sydney, Australia, known for its beaches, historic sites, and views across Botany Bay.
  • C. Flinders
    Flinders is a coastal town on Victoria’s Mornington Peninsula known for its scenic beaches, golf course, and views over Western Port and Bass Strait.
  • D. Flinders
    Flinders is an Australian federal electoral division in Victoria, historically represented by several prominent politicians including former Prime Minister Stanley Bruce.
  • E. Enderby
    Enderby is a village and civil parish in Leicestershire, England, situated near Leicester and known historically for its involvement in the hosiery and footwear industries.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d022f4c81909cd9ea27a9f0cd32 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.