Triple

T10140024
Position Surface form Disambiguated ID Type / Status
Subject Kishangarh State E226955 entity
Predicate hadPostalSystem P14969 FINISHED
Object Kishangarh State stamps 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: Kishangarh State stamps | Statement: [Kishangarh State, hadPostalSystem, Kishangarh State stamps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPostalSystem
Context triple: [Kishangarh State, hadPostalSystem, Kishangarh State stamps]
  • A. hasPostalSystem chosen
    Indicates that an entity possesses or operates an organized system for sending, receiving, and delivering mail or parcels.
  • 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. hasPostalHub
    Indicates that one entity serves as the primary postal processing or distribution center for another entity.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
PD Predicate disambiguation batch_69cd4ba4f5d88190ba68e63be10b08c7 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:07 p.m.