Triple
T32767865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 珠江 |
E837949
|
entity |
| Predicate | 干流名称 |
P168503
|
FINISHED |
| Object | 西江 |
—
|
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: 西江 | Statement: [珠江, 干流名称, 西江]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 干流名称 Context triple: [珠江, 干流名称, 西江]
-
A.
母河流
chosen
Indicates that a river is the main or parent river from which another river (such as a tributary or distributary) originates or to which it belongs.
-
B.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
C.
watercourseName
Indicates the name assigned to a river, stream, or other flowing body of water in the relationship.
-
D.
largestInflowRiver
Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
-
E.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.