Triple
T10723115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyons |
E252870
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Eygues |
E29214
|
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: Eygues | Statement: [Nyons, river, Eygues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eygues Context triple: [Nyons, river, Eygues]
-
A.
Eygues
chosen
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
B.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
C.
Monsaraz
Monsaraz is a historic hilltop village in Portugal’s Alentejo region, renowned for its medieval walls, whitewashed houses, and panoramic views over the Alqueva reservoir.
-
D.
Cabrières
Cabrières is a French wine-producing area in the Languedoc region, known for its distinctive red and rosé wines made primarily from Mediterranean grape varieties.
-
E.
Abriès
Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
Created at: April 8, 2026, 9:14 p.m.