Triple
T23943097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lam River |
E602841
|
entity |
| Predicate | hasProvinceAlongCourse |
P98125
|
FINISHED |
| Object | Nghệ An |
—
|
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: Nghệ An | Statement: [Lam River, hasProvinceAlongCourse, Nghệ An]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvinceAlongCourse Context triple: [Lam River, hasProvinceAlongCourse, Nghệ An]
-
A.
hasProvinceOrRegion
chosen
Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
-
B.
hasMunicipalityAlongCourse
Indicates that a watercourse passes through or alongside a given municipality along its path.
-
C.
hasProvinceType
Indicates that an entity is associated with a province classified by a specific type or category.
-
D.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
E.
hasProvinceName
Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02bf38081909c99b98e04a8d2aa |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:10 p.m.