Triple
T21526714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hue region |
E531114
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Perfume 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: Perfume River | Statement: [Hue region, hasRiver, Perfume River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfume River Context triple: [Hue region, hasRiver, Perfume River]
-
A.
Perfume River
chosen
The Perfume River is a scenic river in central Vietnam renowned for flowing through the historic city of Huế and its imperial landmarks.
-
B.
La Grande River
La Grande River is a major river in northwestern Quebec, Canada, known for its large hydroelectric developments and its drainage into James Bay, an arm of Hudson Bay.
-
C.
Days River
Days River is a river in Michigan’s Upper Peninsula that flows into Little Bay de Noc on Lake Michigan.
-
D.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
E.
Sét River
The Sét River is a small urban waterway in Hanoi, Vietnam, forming part of the city’s drainage and flood-control system.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88515874819085e251c0d297a587 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.