Triple
T27224507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo River |
E681371
|
entity |
| Predicate | passesThroughAdministrativeDivision |
P77740
|
FINISHED |
| Object | Huaibei City |
—
|
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: Huaibei City | Statement: [Guo River, passesThroughAdministrativeDivision, Huaibei City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesThroughAdministrativeDivision Context triple: [Guo River, passesThroughAdministrativeDivision, Huaibei City]
-
A.
passesThroughAdministrativeRegion
chosen
Indicates that a route, path, or movement crosses into or through the territory of a specified administrative region.
-
B.
usesAdministrativeDivisionType
Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
-
C.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
D.
appliesToAdministrativeDivisionType
Indicates that something is relevant or applicable specifically to a certain type or category of administrative division.
-
E.
passesThroughDistrict
Indicates that something (such as a route, boundary, or path) traverses or goes through a particular district.
- 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 9:44 a.m.