Triple
T13679750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tábua |
E327967
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Alva 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: Alva River | Statement: [Tábua, locatedBetween, Alva River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva River Context triple: [Tábua, locatedBetween, Alva River]
-
A.
Alva River
chosen
The Alva River is a tributary of the Mondego River in central Portugal, known for its scenic valleys and role in regional hydroelectric power and recreation.
-
B.
Seonath River
The Seonath River is a significant river in central India that flows through the state of Chhattisgarh and serves as an important water source for agriculture and local communities.
-
C.
Vysun River
The Vysun River is a minor river in southern Ukraine that serves as a tributary of the larger Inhulets River within the Dnieper basin.
-
D.
Glazne River
The Glazne River is a mountain river in southwestern Bulgaria that flows through the town of Bansko in the Pirin region.
-
E.
Leona River
The Leona River is a tributary in south-central Texas that flows through several counties, including Uvalde County, before joining the Frio River.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
Created at: April 9, 2026, 9:53 p.m.