Triple
T21235872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Orne |
E523340
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Orne |
—
|
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: Orne | Statement: [River Orne, hasNameInFrench, Orne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orne Context triple: [River Orne, hasNameInFrench, Orne]
-
A.
Orne
chosen
Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
-
B.
Orne Saosnoise
Orne Saosnoise is a smaller river in northwestern France that serves as a tributary of the Orne River.
-
C.
Olne
Olne is a small municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural character and traditional village charm.
-
D.
The Nore
The Nore is a sandbank at the mouth of the Thames Estuary in England that historically served as a major Royal Navy anchorage and site of naval command.
-
E.
Nerstrand
Nerstrand is a small city in southeastern Minnesota known for its proximity to Nerstrand-Big Woods State Park and its rural, community-oriented character.
- 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.