Triple

T16774254
Position Surface form Disambiguated ID Type / Status
Subject siglos E407680 entity
Predicate reverseType P13703 FINISHED
Object irregular incuse punch 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: irregular incuse punch | Statement: [siglos, reverseType, irregular incuse punch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reverseType
Context triple: [siglos, reverseType, irregular incuse punch]
  • A. typicalReverseType
    Indicates that the subject is the usual or canonical inverse relation type of the given predicate.
  • B. reverseFeature chosen
    Indicates that one feature is the inverse or opposite counterpart of another feature in a given context.
  • C. reversed
    Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
  • D. type2ReverseIntroduced
    Indicates that a type 2 relationship has been introduced in the reverse direction, linking entities in the opposite orientation of the standard type 2 relation.
  • E. reverseDesignSubject
    Indicates that the subject is the entity for which a design or plan is derived by reversing or backtracking from an existing outcome or artifact.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b038d0608190be15c758427bb664 completed April 18, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e319cf691c819083e39225f5777ef0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:22 a.m.