Triple

T5148699
Position Surface form Disambiguated ID Type / Status
Subject Red Dog E116137 entity
Predicate setIn P1393 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: [Red Dog, setIn, Dampier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dampier
Context triple: [Red Dog, setIn, 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. 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.
  • C. 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.
  • D. Cabot
    Cabot is a surname of English and French origin historically associated with notable explorers, merchants, and political figures.
  • E. Bagenal Harvey
    Bagenal Harvey was an Irish barrister and United Irishman who became a prominent commander of rebel forces during the 1798 uprising against British rule.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78b17028819080568715df8c13eb completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfff6e8c8190883fc981fca95f48 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:43 p.m.