Triple

T2907136
Position Surface form Disambiguated ID Type / Status
Subject Darling River E63591 entity
Predicate basinSizeApproxSqKm P28955 FINISHED
Object 1160000 LITERAL 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: 1160000 | Statement: [Darling River, basinSizeApproxSqKm, 1160000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basinSizeApproxSqKm
Context triple: [Darling River, basinSizeApproxSqKm, 1160000]
  • A. drainageAreaApprox chosen
    Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
  • B. drainageBasinArea
    Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
  • C. basinCountry
    Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
  • D. basin
    Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
  • E. basinPartOf
    Indicates that one basin is a component or subdivision of a larger basin or basin system.
  • F. None of above.

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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:11 p.m.