Triple
T1109874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liuzhou |
E25569
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Duliu River |
E164658
|
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: Duliu River | Statement: [Liuzhou, locatedOnRiver, Duliu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duliu River Context triple: [Liuzhou, locatedOnRiver, Duliu River]
-
A.
Xin’an River
The Xin’an River is a major river in eastern China known for its scenic landscapes and as an important tributary contributing to the Qiantang River system.
-
B.
Sunzha River
The Sunzha River is a significant waterway in the North Caucasus that flows through Chechnya and neighboring regions, serving as an important tributary of the Terek River.
-
C.
Liu River
chosen
The Liu River is a significant river in the Guangxi Zhuang Autonomous Region of southern China, known for flowing through the industrial city of Liuzhou and contributing to the region’s transportation and economy.
-
D.
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.
-
E.
Luoqing River
The Luoqing River is a regional river in Guangxi, China, that flows through and helps shape the city of Liuzhou.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4ba045fd88190982e1c6278fb9ca3 |
completed | March 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad158c492c819081988cc99c6f3f0b |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 7:43 p.m.