Triple
T17098983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mialet |
E414927
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gardon 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: Gardon river | Statement: [Mialet, locatedNear, Gardon river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardon river Context triple: [Mialet, locatedNear, Gardon river]
-
A.
Gardon River
chosen
The Gardon River is a waterway in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct before joining the Rhône.
-
B.
Godineau River
The Godineau River is a notable waterway in Trinidad that flows through the island’s southwestern region before emptying into the Gulf of Paria.
-
C.
Seille River
The Seille River is a tributary of the Moselle in northeastern France that flows through the city of Metz.
-
D.
Geehi River
Geehi River is a mountain river in New South Wales, Australia, flowing through the Snowy Mountains within Kosciuszko National Park and known for its alpine scenery and trout fishing.
-
E.
Gaaton River
The Gaaton River is a small coastal river in northern Israel that flows through the city of Nahariya into the Mediterranean Sea.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
Created at: April 10, 2026, 5:35 a.m.