Triple

T1764680
Position Surface form Disambiguated ID Type / Status
Subject Đông Anh District E38734 entity
Predicate hasPlannedDevelopment P29791 FINISHED
Object new urban 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: new urban areas | Statement: [Đông Anh District, hasPlannedDevelopment, new urban areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedDevelopment
Context triple: [Đông Anh District, hasPlannedDevelopment, new urban areas]
  • A. plannedDevelopment chosen
    Indicates that one entity has been designated or scheduled for future development or construction by another entity.
  • B. hasDevelopmentAgenda
    Indicates that an entity maintains or follows a specific plan, set of priorities, or strategic goals guiding its development activities or initiatives.
  • C. hasPlannedCity
    Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
  • D. hasPlannedCommunity
    Indicates that an entity is associated with or contains a community that has been intentionally designed and organized according to a specific development plan.
  • E. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.