Triple
T3964538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salween River |
E85983
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Nujiang |
E230319
|
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: Nujiang | Statement: [Salween River, knownAs, Nujiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nujiang Context triple: [Salween River, knownAs, Nujiang]
-
A.
Nujiang
chosen
Nujiang is an autonomous prefecture in northwestern Yunnan Province, China, known for its dramatic river gorges, ethnic diversity, and relatively remote, mountainous terrain.
-
B.
Maipo River
The Maipo River is one of central Chile’s most important rivers, flowing from the Andes through the Santiago metropolitan area and supporting agriculture, industry, and water supply in the region.
-
C.
Dadu River
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.
-
D.
Ruiru River
Ruiru River is a tributary watercourse in Kenya that feeds into the Nairobi River within the greater Nairobi river basin.
-
E.
Naga River
Naga River is a waterway associated with the Naga region, serving as a local riverine feature in that area.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef97326888190bbfe15b218e3112e |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56287a58481908874f93ca7889d28 |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:31 p.m.