Triple

T30168991
Position Surface form Disambiguated ID Type / Status
Subject Umma E766866 entity
Predicate administrativeRecordsInclude P139163 FINISHED
Object land allotment documents 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: land allotment documents | Statement: [Umma, administrativeRecordsInclude, land allotment documents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeRecordsInclude
Context triple: [Umma, administrativeRecordsInclude, land allotment documents]
  • A. recordsWith chosen
    Indicates that one entity keeps or maintains documented information about another entity or event.
  • B. includesRecordingsBy
    Indicates that one entity (such as a collection, album, or compilation) contains or features recordings created or performed by another entity (such as an artist or group).
  • C. administrativeActivities
    Indicates activities involving the management, organization, or coordination of operations, resources, or procedures within an institution or system.
  • D. managementIncludes
    Indicates that a management entity encompasses, oversees, or has responsibility for the included entity or entities.
  • E. archivesOrRecords
    Indicates that one entity serves as an archive or record-keeping resource for another entity or its activities.
  • 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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
Created at: April 29, 2026, 7:24 p.m.