Triple
T21896686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Slim River |
E540696
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Slim River |
—
|
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: Slim River | Statement: [Battle of Slim River, location, Slim River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slim River Context triple: [Battle of Slim River, location, Slim River]
-
A.
Slim River
chosen
Slim River is a town and river in Perak, Malaysia, historically noted as the site of a major World War II battle during the Japanese invasion of Malaya.
-
B.
Misery Brook
Misery Brook is a small stream in Connecticut that feeds into the Quinnipiac River as part of its watershed system.
-
C.
False River
False River is a river in northern Quebec, Canada, that flows into Ungava Bay in the Arctic region.
-
D.
False River
False River is a tidal channel and backwater of the Sacramento–San Joaquin River Delta in Northern California, known for its fishing, boating, and wetland habitat.
-
E.
Silver River
Silver River is a spring-fed waterway in central Florida known for its clear waters, abundant wildlife, and popular recreational activities such as kayaking and wildlife viewing.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc700c08190a470fe1ad76c8509 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.