Triple
T31377806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jing’an District |
E800357
|
entity |
| Predicate | isPartOfUrbanCoreOf |
P80700
|
FINISHED |
| Object | Shanghai |
—
|
NE NERFINISHED |
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: Shanghai | Statement: [Jing’an District, isPartOfUrbanCoreOf, Shanghai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanCoreOf Context triple: [Jing’an District, isPartOfUrbanCoreOf, Shanghai]
-
A.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
B.
isCoreCity
Indicates that a city serves as a primary, central, or most important urban area within a larger region, system, or network.
-
C.
urbanCoreCity
Indicates that a city functions as the primary urban core or central city within a larger metropolitan or urban area.
-
D.
isUrbanSectionOf
chosen
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
E.
isUrbanCentreFor
Indicates that one place functions as the primary urban hub or central city serving another area or population.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 29, 2026, 9:18 p.m.