Triple

T4040181
Position Surface form Disambiguated ID Type / Status
Subject Town of Bartonville, Texas E83926 entity
Predicate planningPriority P53755 FINISHED
Object preservation of rural character 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: preservation of rural character | Statement: [Town of Bartonville, Texas, planningPriority, preservation of rural character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: planningPriority
Context triple: [Town of Bartonville, Texas, planningPriority, preservation of rural character]
  • A. managementPriority
    Indicates the relative level of importance or urgency assigned to managing or addressing a particular entity, issue, or task.
  • B. missionPriority
    Indicates the relative level of importance or urgency assigned to a mission compared to other missions or tasks.
  • C. typeOfPriority
    Indicates the specific priority level or category assigned to something relative to other items or tasks.
  • D. limitsPriorityOf
    Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
  • E. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aef98ed84c81909dc86097df4afd4f completed March 9, 2026, 4:47 p.m.
Created at: March 9, 2026, 3:37 p.m.