Triple
T21368623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Michel-sur-Orge |
E526990
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Orge 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: Orge river | Statement: [Saint-Michel-sur-Orge, locatedOn, Orge river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orge river Context triple: [Saint-Michel-sur-Orge, locatedOn, Orge river]
-
A.
Orge River
chosen
The Orge River is a tributary of the Seine in northern France that flows through several towns in the Île-de-France region.
-
B.
Arroux River
The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
-
C.
Beuvron River
The Beuvron River is a watercourse in north-central France that flows through the Loiret department as a tributary of the Loire.
-
D.
Aure River
The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
-
E.
Deûle River
The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.