Triple

T16070755
Position Surface form Disambiguated ID Type / Status
Subject Hapur E389852 entity
Predicate previousAdministrativeAssociation P45641 FINISHED
Object part of Ghaziabad district 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: part of Ghaziabad district | Statement: [Hapur, previousAdministrativeAssociation, part of Ghaziabad district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousAdministrativeAssociation
Context triple: [Hapur, previousAdministrativeAssociation, part of Ghaziabad district]
  • A. hasPredecessorAdministrativeEntity
    Indicates that one administrative entity directly preceded another in an official or organizational sequence.
  • B. previousAdministrativeUnit chosen
    Indicates that one administrative unit was the immediate predecessor or former governing unit of another in an administrative hierarchy or history.
  • C. previousAdministrator
    Indicates that one entity formerly held an administrative role or position over another entity before the current administrator.
  • D. previousStateAffiliation
    Indicates that an entity was formerly affiliated with a particular state or state-level jurisdiction before its current status or affiliation.
  • E. formerAdministeredBy
    Indicates that an entity was previously administered or managed by another entity, but is no longer under that administration.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.