Triple

T2178038
Position Surface form Disambiguated ID Type / Status
Subject Thanh Oai District E48575 entity
Predicate landUseIncludes P37665 FINISHED
Object rural residential areas 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: rural residential areas | Statement: [Thanh Oai District, landUseIncludes, rural residential areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landUseIncludes
Context triple: [Thanh Oai District, landUseIncludes, rural residential areas]
  • A. primaryLandUse
    Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
  • B. otherLandUse
    Indicates that the land is used for purposes that do not fall into any of the primary or predefined land-use categories.
  • C. secondaryLandUse
    Indicates a secondary or additional way in which a piece of land is used, beyond its primary designated use.
  • D. hasFloodplainUse
    Indicates that a floodplain area is being used or designated for a particular purpose or activity.
  • E. hasNearbyLandUse
    Indicates that one land area is located close to another area characterized by a specific type of land use.
  • F. None of above. chosen

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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abc434978c8190b9c4dd8411b87f23 completed March 7, 2026, 6:22 a.m.
Created at: March 4, 2026, 7:45 p.m.