Triple
T3504152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somme |
E74035
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Avre River |
E258305
|
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: Avre River | Statement: [Somme, containsRiver, Avre River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avre River Context triple: [Somme, containsRiver, Avre River]
-
A.
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.
-
B.
Buëch River
The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
-
C.
Ain River
The Ain River is a significant waterway in eastern France that flows through the Jura and Ain departments before joining the Rhône.
-
D.
Epte River
The Epte River is a tributary of the Seine in northern France, renowned as a frequent subject in Claude Monet’s Impressionist landscapes.
-
E.
Avre
chosen
The Avre is a river in northern France that serves as a tributary of the Eure, flowing through the Normandy and Centre-Val de Loire regions.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf22b1c8190956141d8fb924210 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589b716648190aeaead138203cbf9 |
completed | March 14, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:18 p.m.