Triple

T10616414
Position Surface form Disambiguated ID Type / Status
Subject Pinghu City E276130 entity
Predicate developmentZone P50262 FINISHED
Object hosts multiple industrial parks 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: hosts multiple industrial parks | Statement: [Pinghu City, developmentZone, hosts multiple industrial parks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developmentZone
Context triple: [Pinghu City, developmentZone, hosts multiple industrial parks]
  • A. developmentArea chosen
    Indicates the geographic or conceptual region within which development, construction, or growth activities are planned, permitted, or occurring.
  • B. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • C. developmentTour
    Indicates that an entity is undertaking or associated with a tour focused on development activities, such as training, capacity building, or project-related visits.
  • D. development
    Indicates a process or relationship in which something grows, advances, or becomes more complex or mature over time.
  • E. coreZoneArea
    Indicates the area or spatial extent of a designated core zone within a larger region or system.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 7:33 p.m.