Triple
T11067052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal de l’Ourcq |
E261652
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ourcq River |
E838193
|
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: Ourcq River | Statement: [Canal de l’Ourcq, connectsTo, Ourcq River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ourcq River Context triple: [Canal de l’Ourcq, connectsTo, Ourcq River]
-
A.
Ourcq River
chosen
The Ourcq River is a waterway in northern France that was a significant site of fighting during World War I, particularly in the Second Battle of the Marne.
-
B.
La Biche River
La Biche River is a tributary waterway in Alberta, Canada, that feeds into the Athabasca River within the province’s northern boreal region.
-
C.
Ouysse River
The Ouysse River is a smaller watercourse in southwestern France that flows through the Lot department’s karst landscapes before joining the Dordogne River.
-
D.
Savioeuse River
The Savioeuse River is a small watercourse in northeastern France that flows through the city of Belfort and forms part of its local hydrological network.
-
E.
Durolle River
The Durolle River is a waterway in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dcec0c8190a5e4ac0aafd34504 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 8, 2026, 9:26 p.m.