Triple
T16241735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colagne River |
E394263
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Lot River |
E114077
|
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: Lot River | Statement: [Colagne River, mouth, Lot River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lot River Context triple: [Colagne River, mouth, Lot River]
-
A.
Lot River
chosen
The Lot River is a major river in southern France known for its winding course through scenic valleys, vineyards, and historic towns before joining the Garonne.
-
B.
Artichoke River
The Artichoke River is a small river in northeastern Massachusetts that serves as a local waterway and reservoir source for nearby communities including West Newbury.
-
C.
Condoto River
The Condoto River is a waterway in Colombia’s Chocó Department known historically for its rich alluvial gold deposits and mining activity.
-
D.
Tons River
Tons River is a major Himalayan river in northern India that flows through Uttarakhand and Himachal Pradesh before joining the Yamuna.
-
E.
Bryanta River
The Bryanta River is a significant watercourse in Russia that contributes substantially to the flow and drainage basin of the Zeya River.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455eeb4c81909066a8af78329ef3 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606d1b00819082f1a6084875d9de |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:04 a.m.