Triple

T27152546
Position Surface form Disambiguated ID Type / Status
Subject Amanohashidate E682428 entity
Predicate appearsAsWhenUpsideDown P172789 FINISHED
Object bridge to heaven 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: bridge to heaven | Statement: [Amanohashidate, appearsAsWhenUpsideDown, bridge to heaven]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearsAsWhenUpsideDown
Context triple: [Amanohashidate, appearsAsWhenUpsideDown, bridge to heaven]
  • A. obverseOrReverse
    Indicates that two sides or aspects of the same object or item are being related as its obverse (front) and reverse (back).
  • B. depictedOnCoinReverse
    Indicates that an entity is shown or represented on the reverse (back) side of a coin.
  • C. obverseDepiction
    Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
  • D. mirroredOn
    Indicates that one entity is a reflective counterpart of another, such that its structure, appearance, or configuration is reversed or symmetrically aligned relative to the other.
  • E. reversed
    Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
  • 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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6b0d21dd08190a9883ff71c94c71c completed May 3, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
PDg Predicate description generation batch_69f6afeaaef88190aefa97e83f8db906 completed May 3, 2026, 2:16 a.m.
Created at: April 27, 2026, 9:15 a.m.