Triple
T22970509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Fontainebleau |
E571173
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Loing River |
E308828
|
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: Loing River | Statement: [canton of Fontainebleau, locatedNear, Loing River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loing River Context triple: [canton of Fontainebleau, locatedNear, Loing River]
-
A.
Loing
chosen
The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
-
B.
Essonne River
The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
-
C.
Loison River
The Loison River is a minor river in northeastern France that flows through the Meuse department before joining the Chiers River.
-
D.
river Bièvre
The river Bièvre is a small tributary of the Seine in the Île-de-France region of France, historically known for flowing through southern Paris and several nearby suburbs.
-
E.
river Orge
The river Orge is a tributary of the Seine in the Île-de-France region of northern France, flowing through several suburban towns south of Paris.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823272c4819083e4653d231facec |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd36dc8d08190aa691002025a19c4 |
completed | May 19, 2026, 3:05 a.m. |
Created at: April 17, 2026, 3:48 p.m.