Triple

T37285144
Position Surface form Disambiguated ID Type / Status
Subject Ladpura tehsil E925510 entity
Predicate hasRevenueOffice P19057 FINISHED
Object Ladpura tehsil revenue office E925510 NE 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: Ladpura tehsil revenue office | Statement: [Ladpura tehsil, hasRevenueOffice, Ladpura tehsil revenue office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRevenueOffice
Context triple: [Ladpura tehsil, hasRevenueOffice, Ladpura tehsil revenue office]
  • A. hasRevenueUnit
    Indicates that an entity’s revenue is measured, reported, or associated in terms of a specified unit (e.g., currency or measurement unit).
  • B. hasSupportingOffice
    Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
  • C. hasAssociatedOffice chosen
    Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
  • D. hasBranchOffice
    Indicates that one organization maintains a branch office or subsidiary location in another place or entity.
  • E. hasBackOfficeFunctionsIn
    Indicates that an entity’s back-office operations or support functions are performed or located in a specified place or organizational unit.
  • F. None of above.

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_69f76eafe20c8190856d3b996a4c31a7 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513fda208190bc69efd7751ebe28 completed June 27, 2026, 10:40 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:16 p.m.