Triple

T29340965
Position Surface form Disambiguated ID Type / Status
Subject thermal detonator E744034 entity
Predicate inUniverseLegality P139339 FINISHED
Object often illegal 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: often illegal | Statement: [thermal detonator, inUniverseLegality, often illegal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inUniverseLegality
Context triple: [thermal detonator, inUniverseLegality, often illegal]
  • A. legalStatusInUniverse chosen
    Indicates the formal legal standing or classification an entity holds within a specified fictional or conceptual universe.
  • B. inUniverseUseRestriction
    Indicates that the use of something is restricted or limited within a specific fictional or defined universe or setting.
  • C. inUniverseUse
    Indicates that something is used or occurs within a particular fictional or conceptual universe, as opposed to in the real world or another setting.
  • D. inUniverseRestriction
    Indicates that something is limited, applicable, or valid only within a specific fictional or defined universe or continuity.
  • E. inUniverseRarity
    Indicates how rare or uncommon something is within the context of a specific fictional or defined universe.
  • 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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 28, 2026, 1:33 p.m.