Triple
T22315493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changhua County |
E551628
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object | Zhuoshui 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: Zhuoshui River | Statement: [Changhua County, hasMajorRiver, Zhuoshui River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhuoshui River Context triple: [Changhua County, hasMajorRiver, Zhuoshui River]
-
A.
Zhuoshui River
chosen
The Zhuoshui River is Taiwan’s longest river, flowing westward across central Taiwan and forming a major natural and cultural boundary on the island.
-
B.
Qingshui River
Qingshui River is a river in Xinjiang, China, that serves as a major tributary feeding water into Bosten Lake.
-
C.
Qingshui River
The Qingshui River is a tributary waterway in China that feeds into the larger Yuan River system.
-
D.
Guandu River
The Guandu River is a crucial waterway in Brazil that serves as the primary source of drinking water for much of the metropolitan region of Rio de Janeiro.
-
E.
Danshui River
Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1575287688190aa642bb49b24f5a1 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.