Triple
T7967568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Municipal People’s Congress |
E185242
|
entity |
| Predicate | cityTypeRepresented |
P57766
|
FINISHED |
| Object | sub-provincial city of Guangzhou |
—
|
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: sub-provincial city of Guangzhou | Statement: [Guangzhou Municipal People’s Congress, cityTypeRepresented, sub-provincial city of Guangzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTypeRepresented Context triple: [Guangzhou Municipal People’s Congress, cityTypeRepresented, sub-provincial city of Guangzhou]
-
A.
cityRepresentation
Indicates that one entity serves as the official or primary representative (such as a government, organization, or office) for a particular city in some context.
-
B.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
-
C.
cityRepresented
Indicates that one entity serves as the official representative or governing body for a particular city.
-
D.
coordinatesRepresentativeCity
Indicates that one entity is responsible for organizing, managing, or overseeing the official representative city associated with another entity.
-
E.
cityServedType
chosen
Indicates the type or category of city that is served by a given entity (such as a facility, service, or 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba3f53c8190a0e9b3de2f1b9645 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.