Triple
T17220490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clain River |
E417965
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clain |
E417965
|
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: Clain | Statement: [Clain River, name, Clain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clain Context triple: [Clain River, name, Clain]
-
A.
Clain River
chosen
The Clain River is a waterway in western France that flows through the city of Poitiers before joining the Vienne River.
-
B.
North Hudson
North Hudson is a densely populated urban region in northern Hudson County, New Jersey, encompassing several closely linked municipalities along the Hudson River waterfront.
-
C.
Saconet
Saconet is an ethnonymic variant referring to the Sakonnet, a Native American people historically associated with the coastal region of what is now southeastern Rhode Island.
-
D.
Comasco
Comasco is a variety of the Lombard language traditionally spoken in and around the city of Como in northern Italy.
-
E.
St. Clair
St. Clair is a township in southwestern Ontario, Canada, situated along the St. Clair River within Lambton County.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016757985881909b5711eb1f206cd7 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.