Triple
T22654501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bone on Bone |
E559186
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | False 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: False River | Statement: [Bone on Bone, track, False River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: False River Context triple: [Bone on Bone, track, False River]
-
A.
False River
False River is a river in northern Quebec, Canada, that flows into Ungava Bay in the Arctic region.
-
B.
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.
-
C.
False River
chosen
False River is an oxbow lake in southeastern Louisiana known for its recreational fishing, boating, and lakeside camps and homes.
-
D.
Drift River
Drift River is a river in Alaska that flows into Cook Inlet, known for its proximity to the Redoubt Volcano and associated lahar and flooding hazards.
-
E.
Fiagdon River
The Fiagdon River is a mountain river in the Caucasus region of Ossetia, known for flowing through scenic gorges and valleys.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.