Triple
T8170193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liuyang |
E190796
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Liuyang River |
E760551
|
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: Liuyang River | Statement: [Liuyang, namedAfter, Liuyang River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liuyang River Context triple: [Liuyang, namedAfter, Liuyang River]
-
A.
Liuyang River
chosen
The Liuyang River is a significant river in Hunan Province, China, known for flowing through Liuyang city and contributing to the Xiang River system.
-
B.
Lian River
The Lian River is a significant river in southern China that serves as a major tributary within the Xiang River system, contributing to the hydrology of the broader Yangtze River basin.
-
C.
Luo River
The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
-
D.
Lishui River
The Lishui River is a major river in Hunan Province, China, known for flowing through the scenic karst landscapes of the Zhangjiajie region.
-
E.
Danshui River
Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4803de688190960438aa059d163b |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9fdde41081908de793672a889a67 |
completed | April 3, 2026, 11:09 a.m. |
Created at: March 30, 2026, 5:39 p.m.