Triple
T30046061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaqiao station |
E763455
|
entity |
| Predicate | locatedInCityCluster |
P158535
|
FINISHED |
| Object | Yangtze River Delta |
—
|
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: Yangtze River Delta | Statement: [Huaqiao station, locatedInCityCluster, Yangtze River Delta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCityCluster Context triple: [Huaqiao station, locatedInCityCluster, Yangtze River Delta]
-
A.
cityCluster
chosen
Indicates a grouping relationship where multiple cities are associated together as part of the same cluster or urban agglomeration.
-
B.
locatedInHubOf
Indicates that one entity is situated within the central hub or core area associated with another entity.
-
C.
locatedNearMetropolitanArea
Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
-
D.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
E.
hostCityCluster
Indicates that a city serves as a central or primary host location within a defined group or cluster of related events, activities, or entities.
- 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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 29, 2026, 6:54 p.m.