Triple

T13111306
Position Surface form Disambiguated ID Type / Status
Subject Stet, Missouri E310976 entity
Predicate hasPostOfficeStatus P103405 FINISHED
Object closed 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: closed | Statement: [Stet, Missouri, hasPostOfficeStatus, closed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostOfficeStatus
Context triple: [Stet, Missouri, hasPostOfficeStatus, closed]
  • A. hasPostalServiceStatus chosen
    Indicates the current operational or service condition of a postal service for a given entity or location.
  • B. hasPostalServiceThrough
    Indicates that one entity receives or provides postal services by means of, or via the infrastructure of, another entity.
  • C. hasPostalAgency
    Indicates that one entity operates, hosts, or is served by a postal agency associated with another entity.
  • D. hasPostalAuthority
    Indicates that an entity possesses official authority or jurisdiction over postal services or mail operations for a given area or context.
  • E. hasPostalTerritoryStatus
    Indicates that an entity holds a specific official status or designation as a postal territory within a postal or administrative system.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69d98041a3548190a05ddd83dbb660fa completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:05 p.m.