Triple

T5581564
Position Surface form Disambiguated ID Type / Status
Subject Virgo E146650 entity
Predicate associatedGlyphMeaning P64570 FINISHED
Object stylized maiden with crossed legs or closed loop 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: stylized maiden with crossed legs or closed loop | Statement: [Virgo, associatedGlyphMeaning, stylized maiden with crossed legs or closed loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedGlyphMeaning
Context triple: [Virgo, associatedGlyphMeaning, stylized maiden with crossed legs or closed loop]
  • A. associatedCharacterMeaning
    Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
  • B. inscriptionMeaning
    Indicates that an inscription conveys a particular meaning, message, or content.
  • C. letterMeaning
    Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
  • D. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • E. reverseInscriptionMeaning
    Indicates that the inscription’s meaning is the reverse or opposite of the usual or expected interpretation.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b147cc081909237f3f2967d4cb8 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0684908190ae2d14f0bd2ab892 completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:37 p.m.