Triple

T116155
Position Surface form Disambiguated ID Type / Status
Subject Great Dividing Range E2342 entity
Predicate formsWatershedFor P6179 FINISHED
Object eastern Australia 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: eastern Australia | Statement: [Great Dividing Range, formsWatershedFor, eastern Australia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsWatershedFor
Context triple: [Great Dividing Range, formsWatershedFor, eastern Australia]
  • A. drainageBasin
    Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
  • B. followsWatercourse
    Indicates that one entity runs alongside or traces the path of a watercourse such as a river, stream, or canal.
  • C. mouthOfTheWatercourse
    Indicates the location where a watercourse ends and flows into a larger body of water.
  • D. mouthOfWatercourse
    Indicates the location where a watercourse ends and flows into a larger body of water or another watercourse.
  • E. hasStructureOnWatercourse
    Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
  • F. None of above. chosen

Provenance (4 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a256456d908190b52c937fe6c4343f completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2578329d08190be82e004b8224d2b completed Feb. 28, 2026, 2:48 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.