Triple
T15102707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaobai River |
E360708
|
entity |
| Predicate | hasMouthLocation |
P1008
|
FINISHED |
| Object | Hai River |
E69706
|
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: Hai River | Statement: [Chaobai River, hasMouthLocation, Hai River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hai River Context triple: [Chaobai River, hasMouthLocation, Hai River]
-
A.
Hai River
chosen
The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, agriculture, and transportation.
-
B.
Hieu River
Hieu River is a tributary waterway in Vietnam that feeds into the larger Ca River system.
-
C.
Hoang Long River
Hoang Long River is a river in northern Vietnam that flows through Ninh Binh Province, contributing to the region’s agriculture and landscape.
-
D.
Bao River
The Bao River is a tributary waterway in the Dominican Republic that feeds into the Yaque del Norte, the country’s longest and most significant river.
-
E.
Ou River
The Ou River is a major river in southeastern China that flows through Zhejiang Province and empties into the East China Sea near the city of Wenzhou.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31fa31c8190a22a27f5572e4334 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:05 a.m.