Triple

T14802409
Position Surface form Disambiguated ID Type / Status
Subject Marulan E347939 entity
Predicate hasRuralFireServiceBrigade P115786 FINISHED
Object true 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: true | Statement: [Marulan, hasRuralFireServiceBrigade, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRuralFireServiceBrigade
Context triple: [Marulan, hasRuralFireServiceBrigade, true]
  • A. hasFireServicesFrom
    Indicates that one entity receives fire protection or firefighting services from another entity.
  • B. hasFireAndRescueServiceCategory
    Indicates the specific fire and rescue service classification or category assigned to an entity, such as a building, facility, or site.
  • C. hasRuralServiceTown
    Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
  • D. hasRuralCouncilStatus
    Indicates that an entity holds the official designation or legal status of a rural council within a given administrative or governance system.
  • E. hasFireStation
    Indicates that a location or area contains or is served by a fire station.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
PD Predicate disambiguation batch_69de8c0ef8a4819092d84478b1f56db1 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:33 a.m.