Triple

T11477488
Position Surface form Disambiguated ID Type / Status
Subject Purnululu National Park E272059 entity
Predicate hasRockStratification P40295 FINISHED
Object orange and grey banding 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: orange and grey banding | Statement: [Purnululu National Park, hasRockStratification, orange and grey banding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRockStratification
Context triple: [Purnululu National Park, hasRockStratification, orange and grey banding]
  • A. hasRockType
    Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
  • B. hasStratigraphicFeature chosen
    Indicates a relationship in which a geological unit, site, or context contains, exhibits, or is associated with a particular stratigraphic feature (such as a layer, horizon, or boundary) within its stratigraphic sequence.
  • C. lithology
    Indicates the type and characteristics of rock or sediment that compose a geological unit or layer.
  • D. commonRockUnit
    Indicates that two or more geological features share the same rock unit or lithostratigraphic layer.
  • E. hasRockyTerrain
    Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.