Triple

T8325672
Position Surface form Disambiguated ID Type / Status
Subject Nambu–Goto action E194944 entity
Predicate worldsheetHas P82115 FINISHED
Object two parameters σ and τ 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: two parameters σ and τ | Statement: [Nambu–Goto action, worldsheetHas, two parameters σ and τ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldsheetHas
Context triple: [Nambu–Goto action, worldsheetHas, two parameters σ and τ]
  • A. hasWorld
    Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
  • B. isChartedOn
    Indicates that something is represented or plotted on a particular chart or graph.
  • C. existsWithin
    Indicates that one entity is located inside the spatial, temporal, or conceptual boundaries of another entity.
  • D. where
    Indicates a spatial or contextual relationship specifying the location or setting in which an entity exists or an action occurs.
  • E. isInscribedOn
    Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7fba688190b696593dfb2cde5d completed March 31, 2026, 8:02 a.m.
PD Predicate disambiguation batch_69cb70c3231c81909e3d463192c9de22 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76d823b08190a54fadb50660cda5 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:56 p.m.