Triple

T22977439
Position Surface form Disambiguated ID Type / Status
Subject Rue E571364 entity
Predicate districtSpecialty P21480 FINISHED
Object agriculture 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: agriculture | Statement: [Rue, districtSpecialty, agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: districtSpecialty
Context triple: [Rue, districtSpecialty, agriculture]
  • A. specialMunicipality
    Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
  • B. specialWard
    Indicates that an entity is designated as a special ward, typically signifying a distinct administrative or jurisdictional subdivision with special status.
  • C. district
    Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
  • D. regionSpecialization chosen
    Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
  • E. districtAdministration
    Indicates that an entity is responsible for managing, governing, or overseeing the administrative affairs of a specific district or local jurisdiction.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
PD Predicate disambiguation batch_69ef3b9101f48190a06c69dff26c6441 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:48 p.m.