Triple
T3637467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Taipei City |
E77106
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Keelung River |
E78642
|
NE FINISHED |
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: Keelung River | Statement: [New Taipei City, contains, Keelung River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keelung River Context triple: [New Taipei City, contains, Keelung River]
-
A.
Keelung River
chosen
The Keelung River is a major river in northern Taiwan that flows through the Taipei metropolitan area before joining the Tamsui River and emptying into the Taiwan Strait.
-
B.
Tamsui River
The Tamsui River is a major river in northern Taiwan that flows through the Taipei metropolitan area before emptying into the Taiwan Strait.
-
C.
Dong River
The Dong River is a significant river in southern China that serves as one of the main tributaries feeding the Pearl River system and supporting the densely populated Pearl River Delta region.
-
D.
Shenzhen River
The Shenzhen River is a boundary river in southern China that forms part of the border between Hong Kong and the city of Shenzhen.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c38a70788190908c9a84c7ed7a4f |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:24 p.m.