Triple
T17509086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luoyang Bridge |
E426401
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Luoyang River |
—
|
NE NERFINISHED |
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: Luoyang River | Statement: [Luoyang Bridge, crosses, Luoyang River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luoyang River Context triple: [Luoyang Bridge, crosses, Luoyang River]
-
A.
Luoyang River
chosen
The Luoyang River is a significant coastal river in Fujian Province, China, known for flowing through the Quanzhou area and supporting its historical maritime and economic activities.
-
B.
Guo River
The Guo River is a river in eastern China that flows through parts of Anhui Province, including the city of Huaibei, and serves as a regional waterway and drainage channel.
-
C.
Anyang River
The Anyang River is a waterway in Henan Province, China, that flows through the city of Anyang and contributes to its regional agriculture and ecology.
-
D.
Liuyang River
The Liuyang River is a significant river in Hunan Province, China, known for flowing through Liuyang city and contributing to the Xiang River system.
-
E.
Changshan River
The Changshan River is a regional river in Quzhou, Zhejiang Province, China, contributing to the area's local water system and landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.