Triple
T15388439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing central axis |
E367973
|
entity |
| Predicate | cityPlanRole |
P14108
|
FINISHED |
| Object | primary planning axis of old Beijing |
—
|
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: primary planning axis of old Beijing | Statement: [Beijing central axis, cityPlanRole, primary planning axis of old Beijing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityPlanRole Context triple: [Beijing central axis, cityPlanRole, primary planning axis of old Beijing]
-
A.
roleInUrbanPlan
chosen
Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
-
B.
urbanPolicyRole
Indicates a role or responsibility that an entity has in shaping, implementing, or influencing urban policy.
-
C.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
D.
cityOfPlanning
Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
-
E.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.