Triple

T26605015
Position Surface form Disambiguated ID Type / Status
Subject Federal Correctional Institution Coleman E667743 entity
Predicate securityLevel_USP Coleman II P167753 FINISHED
Object high security 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: high security | Statement: [Federal Correctional Institution Coleman, securityLevel_USP Coleman II, high security]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityLevel_USP Coleman II
Context triple: [Federal Correctional Institution Coleman, securityLevel_USP Coleman II, high security]
  • A. securityLevel_USP Coleman I
    Indicates that the relationship specifies the security classification or custody level associated with USP Coleman I.
  • B. securityLevel_FCI Coleman Medium
    Indicates that an entity has a security level classification associated with FCI Coleman Medium.
  • C. designedToWithstand
    Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
  • D. hasCampingStyle
    Indicates that an entity is associated with a particular style or manner of camping.
  • E. hasSnowShelter
    Indicates that an entity possesses or provides a structure or feature that offers shelter or protection from snow.
  • 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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f66cf092c881908d7034c9c2bc61d5 completed May 2, 2026, 9:30 p.m.
PD Predicate disambiguation batch_69f66abddc448190a488852f8abdeb2c completed May 2, 2026, 9:21 p.m.
PDg Predicate description generation batch_69f66c59de9881909ebbb7b0ae7ab495 completed May 2, 2026, 9:27 p.m.
Created at: April 27, 2026, 2:14 a.m.