Triple

T5201789
Position Surface form Disambiguated ID Type / Status
Subject Miranda E117408 entity
Predicate hasVeryHighCliffs P12975 FINISHED
Object true 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: true | Statement: [Miranda, hasVeryHighCliffs, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVeryHighCliffs
Context triple: [Miranda, hasVeryHighCliffs, true]
  • A. hasCliffs chosen
    Indicates that something possesses or is characterized by the presence of cliffs.
  • B. hasCliff
    Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
  • C. hasCliffHeight
    Indicates the relationship between a cliff and the measurement of its vertical height.
  • D. hasMountainousTerrain
    Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
  • E. hasCrevasses
    Indicates that the subject contains or is characterized by deep open cracks or fissures, typically in a surface such as ice or rock.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adb034c819086bf8a85fbf158f4 completed March 20, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69bd77b9a67c8190819612257ea746b4 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:47 p.m.