Triple
T32726094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 罗田天堂寨 |
E836805
|
entity |
| Predicate | 所在县 |
P35926
|
FINISHED |
| Object | 罗田县 |
—
|
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: 罗田县 | Statement: [罗田天堂寨, 所在县, 罗田县]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在县 Context triple: [罗田天堂寨, 所在县, 罗田县]
-
A.
locatedInCountyRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specific county or county-level region.
-
B.
locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
-
C.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
D.
hasCountySeatWithin
Indicates that the designated county’s official administrative center (county seat) is located within the specified geographic area or boundary.
-
E.
hasCountySeatOfParentCounty
Indicates that a location serves as the county seat (administrative center) for the county that is the parent of another referenced entity.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b80b508190b03c5a5859c695fe |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.