Triple

T32467553
Position Surface form Disambiguated ID Type / Status
Subject State Historic Park Preserve E829751 entity
Predicate hasConservationLevel P206285 FINISHED
Object state 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: state | Statement: [State Historic Park Preserve, hasConservationLevel, state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConservationLevel
Context triple: [State Historic Park Preserve, hasConservationLevel, state]
  • A. hasConservationCategory
    Indicates the conservation or protection status category assigned to an entity, typically reflecting its level of environmental or heritage significance or vulnerability.
  • B. hasConservationPriority
    Indicates that an entity is assigned a particular level or status of importance for conservation or protection efforts.
  • C. hasConservationConcernIn
    Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
  • D. typeOfConservation
    Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
  • E. hasConservationAspect
    Indicates that something is associated with, involves, or possesses a particular conservation-related aspect or consideration.
  • 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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7fb9f88190b384b1b68200aef0 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 12:57 a.m.