Triple
T28052976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro Line 11 |
E708876
|
entity |
| Predicate | intendedServiceArea |
P82
|
FINISHED |
| Object | central Guangzhou urban 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: central Guangzhou urban area | Statement: [Guangzhou Metro Line 11, intendedServiceArea, central Guangzhou urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedServiceArea Context triple: [Guangzhou Metro Line 11, intendedServiceArea, central Guangzhou urban area]
-
A.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
B.
areaServed
chosen
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
C.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
D.
areaServedType
Indicates the type or category of area that is served by an entity or service.
-
E.
strategicAreaServed
Indicates that an entity provides services or exerts influence within a particular area considered strategically important.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:34 p.m.