Triple

T5467034
Position Surface form Disambiguated ID Type / Status
Subject Ceryneian Hind E122735 entity
Predicate capturedUsing P64243 FINISHED
Object net or trap in some versions 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: net or trap in some versions | Statement: [Ceryneian Hind, capturedUsing, net or trap in some versions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capturedUsing
Context triple: [Ceryneian Hind, capturedUsing, net or trap in some versions]
  • A. capturedBy
    Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
  • B. capturedFor
    Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
  • C. capturedIn
    Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
  • D. capturedEquipment
    Indicates that one party has taken possession of another party’s equipment, typically as a result of conflict, competition, or enforcement.
  • E. capturedDuring
    Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a370a88190b5d17b8a5387138d completed March 20, 2026, 6:27 p.m.
PDg Predicate description generation batch_69bd927b0b4c81909d5e0f594822e3f9 completed March 20, 2026, 6:31 p.m.
Created at: March 20, 2026, 2:08 p.m.