Triple

T31666029
Position Surface form Disambiguated ID Type / Status
Subject Kibaran orogeny E808126 entity
Predicate hasRockRecordIn P193609 FINISHED
Object Kibara Belt NE NERFINISHED

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: Kibara Belt | Statement: [Kibaran orogeny, hasRockRecordIn, Kibara Belt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRockRecordIn
Context triple: [Kibaran orogeny, hasRockRecordIn, Kibara Belt]
  • A. hasRockRecord
    Indicates that an entity possesses or is associated with a documented record related to rock music or rock materials.
  • B. hasRockSequence
    Indicates that one entity possesses or is associated with a specific ordered sequence of rocks.
  • C. hasRockType
    Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
  • D. hasRockGrade
    Indicates that an entity is associated with a specific difficulty or quality grade used to classify rock climbing routes or rock features.
  • E. hasRockSubgenre
    Indicates a relationship where one musical style is classified as a subgenre within the broader category of rock music.
  • 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_69f348dbeef4819080b446a7feb6340b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
PDg Predicate description generation batch_69fd4d16dd20819096957c40f43cd971 completed May 8, 2026, 2:40 a.m.
Created at: April 30, 2026, 10:59 p.m.