Triple

T30302375
Position Surface form Disambiguated ID Type / Status
Subject The Lions E770684 entity
Predicate hasTwinPeaks P73388 FINISHED
Object yes 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: yes | Statement: [The Lions, hasTwinPeaks, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTwinPeaks
Context triple: [The Lions, hasTwinPeaks, yes]
  • A. hasTwinPeak chosen
    Indicates that an entity possesses or is characterized by two prominent, closely associated peaks or summits.
  • B. hasTwin
    Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
  • C. hasTwinStatus
    Indicates that an entity has a twin relationship or classification, such as being one of a pair of twins or having an associated twin counterpart.
  • D. hasTwinFeature
    Indicates that two entities share an identical or nearly identical feature, characteristic, or component, as if they are twins in that respect.
  • E. hasTwinSatellite
    Indicates that one celestial body possesses a satellite that is paired with another satellite in a twin or closely matched relationship.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6813b03c881909786514932f103f3 completed May 2, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 7:49 p.m.