Triple

T10420547
Position Surface form Disambiguated ID Type / Status
Subject The Inevitable E245634 entity
Predicate hasRukusCount P43587 FINISHED
Object 3 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: 3 | Statement: [The Inevitable, hasRukusCount, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRukusCount
Context triple: [The Inevitable, hasRukusCount, 3]
  • A. numberOfRukus chosen
    Indicates the quantity or count of distinct "Rukus" associated with or involved in a given entity or situation.
  • B. hasRuku
    Indicates that an entity performs, contains, or is associated with a ruku (the bowing posture/section) within a prayer or recitation structure.
  • C. hasNumberOfWuku
    Indicates the relationship that specifies how many wuku (traditional Javanese calendar weeks) are associated with a given entity.
  • D. hasRoudNumber
    Indicates that an entity is associated with or assigned a specific round number within a sequence of rounds or stages.
  • E. rukus
    Indicates that an entity is associated with or participates in a disturbance, commotion, or noisy disruptive event involving another entity.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2bee2081908e5e65df9100d463 completed April 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:11 p.m.