Triple
T6554652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decazeville |
E152413
|
entity |
| Predicate | locatedNear |
P294
|
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: [Decazeville, locatedNear, Lot River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lot River Context triple: [Decazeville, locatedNear, 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.
Tons River
Tons River is a major Himalayan river in northern India that flows through Uttarakhand and Himachal Pradesh before joining the Yamuna.
-
C.
Bryanta River
The Bryanta River is a significant watercourse in Russia that contributes substantially to the flow and drainage basin of the Zeya River.
-
D.
Maurice River
The Maurice River is a river in southern New Jersey that flows through rural wetlands and empties into Delaware Bay, supporting significant ecological habitats and recreational activities.
-
E.
Sydenham River
The Sydenham River is a river in southwestern Ontario, Canada, known for its rich biodiversity and for flowing through the municipality of Chatham-Kent before emptying into Lake St. Clair.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7941f24b881908aeb02b2cae78e12 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 1:51 p.m.