Triple
T21235864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Orne |
E523340
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Noireau |
—
|
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: Noireau | Statement: [River Orne, hasTributary, Noireau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noireau Context triple: [River Orne, hasTributary, Noireau]
-
A.
Noireau
chosen
Noireau is a river in northwestern France that flows through the hilly Suisse normande region of Normandy.
-
B.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
C.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
D.
Peux-et-Couffouleux
Peux-et-Couffouleux is a small rural commune in the Aveyron department of southern France.
-
E.
Frépillon
Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7351f0e988190bb77b598cb8a9532 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:46 p.m.