Triple
T10131877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanzhou District |
E226356
|
entity |
| Predicate | isUrbanCoreFor |
P79357
|
FINISHED |
| Object | surrounding counties in northeastern Chongqing |
—
|
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: surrounding counties in northeastern Chongqing | Statement: [Wanzhou District, isUrbanCoreFor, surrounding counties in northeastern Chongqing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanCoreFor Context triple: [Wanzhou District, isUrbanCoreFor, surrounding counties in northeastern Chongqing]
-
A.
isUrbanHubFor
chosen
Indicates that a location functions as a central urban focal point or primary service center for another area or population.
-
B.
isUrbanForm
Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
-
C.
isUrbanStation
Indicates that a station is located in an urban area or serves an urban environment.
-
D.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
E.
isCoreCity
Indicates that a city serves as a primary, central, or most important urban area within a larger region, system, or network.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33557a88190b5fb1938646d8532 |
completed | April 2, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.