Triple

T23099953
Position Surface form Disambiguated ID Type / Status
Subject Phantom Zone E575997 entity
Predicate stateOfInmates P13715 FINISHED
Object bodiless suspension 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: bodiless suspension | Statement: [Phantom Zone, stateOfInmates, bodiless suspension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateOfInmates
Context triple: [Phantom Zone, stateOfInmates, bodiless suspension]
  • A. inmates
    Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
  • B. securityForInmates
    Indicates the provision or management of protective measures and safeguards specifically intended for inmates.
  • C. estimatedPrisonerCount
    Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
  • D. placeOfDetention
    Indicates the location or facility where an entity is or was held in detention.
  • E. detaineeStatus chosen
    Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de81060819084ab618f05aae583 completed April 29, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:58 p.m.