Triple
T7321292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Metro Line 37 |
E168552
|
entity |
| Predicate | countryPlanningContext |
P23493
|
FINISHED |
| Object | Chinese urban rail transit planning |
—
|
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: Chinese urban rail transit planning | Statement: [Wuhan Metro Line 37, countryPlanningContext, Chinese urban rail transit planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPlanningContext Context triple: [Wuhan Metro Line 37, countryPlanningContext, Chinese urban rail transit planning]
-
A.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
-
B.
landUseContext
Indicates the contextual setting or circumstances under which a particular piece of land is used or designated for a specific purpose.
-
C.
locationOfPlanning
Indicates the place or setting where the planning activity or process occurs.
-
D.
planningNation
chosen
Indicates that a nation is responsible for planning, organizing, or coordinating the referenced activity, event, or operation.
-
E.
regionalPlanningInstrument
Indicates that an entity is a formal tool, policy, or framework used to guide and regulate planning and development within a specific geographic region.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1ba58481909cfb5030b85f385a |
completed | March 27, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:02 p.m.