Triple
T12630114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher (department) |
E301616
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Yèvre River |
E631532
|
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: Yèvre River | Statement: [Cher (department), hasRiver, Yèvre River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yèvre River Context triple: [Cher (department), hasRiver, Yèvre River]
-
A.
Yèvre River
chosen
The Yèvre River is a waterway in central France that flows through the city of Bourges and forms part of the region’s local river network.
-
B.
Yaga River
The Yaga River is a mountain river in the Spanish Pyrenees that carves through the Escuaín Gorge within the Ordesa y Monte Perdido National Park.
-
C.
Torsha River
The Torsha River is a transboundary river flowing through Bhutan and the Indian state of West Bengal, known for its role in irrigation, local ecosystems, and frequent monsoon flooding in the Dooars region.
-
D.
Lyokh River
The Lyokh River is a lesser-known watercourse in northwestern Russia that feeds into the larger Pechora River system.
-
E.
Votka River
The Votka River is a smaller watercourse in Russia that feeds into the larger Kama River within the Volga basin.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8be7834819085bfce037c467004 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 5:15 p.m.