Triple
T19732941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quảng Điền District |
E473898
|
entity |
| Predicate | hasRivers |
P165
|
FINISHED |
| Object | Bồ River |
—
|
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: Bồ River | Statement: [Quảng Điền District, hasRivers, Bồ River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRivers Context triple: [Quảng Điền District, hasRivers, Bồ River]
-
A.
hasRiver
chosen
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
hasNumberOfRivers
Indicates the quantitative relationship specifying how many rivers are associated with a given entity.
-
C.
hasMajorRiverSystem
Indicates that an entity possesses or is traversed by a primary, large-scale river network that significantly characterizes its hydrology or geography.
-
D.
hasWatersOf
Indicates that a geographic or physical entity contains, is traversed by, or is otherwise characterized by specific bodies or types of water.
-
E.
hasNoLargeRiversFlowingIn
Indicates that the specified place does not have any major rivers flowing into it.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.