Triple
T6913639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daxi Old Street |
E159994
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dahan River |
E525592
|
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: Dahan River | Statement: [Daxi Old Street, near, Dahan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dahan River Context triple: [Daxi Old Street, near, Dahan River]
-
A.
Dahan River
chosen
The Dahan River is a major river in northern Taiwan that flows through Taoyuan and New Taipei City, playing a key role in regional water supply, agriculture, and flood control.
-
B.
Adhaim River
The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
-
C.
Natanebi River
The Natanebi River is a waterway in western Georgia that flows through the Guria region, including the area around the town of Ozurgeti, before emptying into the Black Sea.
-
D.
Hasbani River
The Hasbani River is a major tributary of the upper Jordan River, originating in Lebanon and flowing southward toward Israel.
-
E.
Shashe River
The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo River.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dbca6c819091d8b65e54ada5d9 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9742fd0dc8190a154cf83c87eb508 |
completed | March 29, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:25 p.m.