Triple
T14554346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fangshan District urban area |
E341498
|
entity |
| Predicate | urbanHierarchy |
P114661
|
FINISHED |
| Object | subcenter of Beijing’s metropolitan area |
—
|
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: subcenter of Beijing’s metropolitan area | Statement: [Fangshan District urban area, urbanHierarchy, subcenter of Beijing’s metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanHierarchy Context triple: [Fangshan District urban area, urbanHierarchy, subcenter of Beijing’s metropolitan area]
-
A.
cityTierContext
Indicates the classification of a city into a specific tier or level within a contextual hierarchy (such as economic, demographic, or strategic importance).
-
B.
cityLevel
Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
-
C.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
-
D.
urbanPlanningLevel
Indicates the degree or quality of planning, organization, and regulation applied to the development and use of urban spaces.
-
E.
urbanizationLevel
Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:23 a.m.