Triple
T7164764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hengduan Mountains |
E167037
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Dadu River |
E244624
|
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: Dadu River | Statement: [Hengduan Mountains, drainedBy, Dadu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dadu River Context triple: [Hengduan Mountains, drainedBy, Dadu River]
-
A.
Dadu River
chosen
The Dadu River is a major tributary of the Yangtze River in southwestern China, known for its deep gorges, hydroelectric dams, and historical significance in Sichuan and neighboring regions.
-
B.
Ruo River
The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
-
C.
Bailong River
The Bailong River is a significant river in northwestern China that flows through Gansu and Sichuan provinces, known for its deep valleys and role in regional agriculture and hydropower.
-
D.
Daquan River
Daquan River is a river in the Dunhuang area of Gansu, China, known for flowing near the historic Mogao Caves along the ancient Silk Road.
-
E.
Chu River
The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e83168a08190937ff46797d94f3e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7aa218081908cba76a4fdaa9f10 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 2:47 p.m.