Triple
T16290467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roda de Ter |
E395506
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ter 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: Ter River | Statement: [Roda de Ter, locatedOnRiver, Ter River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ter River Context triple: [Roda de Ter, locatedOnRiver, Ter River]
-
A.
Ter River
chosen
The Ter River is a significant river in northeastern Catalonia, Spain, flowing from the Pyrenees to the Mediterranean Sea and passing through cities such as Girona.
-
B.
Coal River
Coal River is a river in southern West Virginia known for flowing through Boone County and contributing to the region’s coalfield landscape and history.
-
C.
Youngs River
Youngs River is a coastal river in northwestern Oregon that flows into Youngs Bay near the mouth of the Columbia River.
-
D.
Tamesí River
The Tamesí River is a significant waterway in northeastern Mexico that flows through the states of Tamaulipas and Veracruz before joining the Pánuco River system near the Gulf of Mexico.
-
E.
Train River
The Train River is a smaller watercourse in Belgium that serves as a tributary within the Dyle River basin.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2491821d0819086cffdd7551ba85a |
completed | April 17, 2026, 2:52 p.m. |
Created at: April 10, 2026, 5:05 a.m.