Triple
T19192381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quorn Brook |
E469873
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Quorn |
—
|
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: Quorn | Statement: [Quorn Brook, flowsThrough, Quorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quorn Context triple: [Quorn Brook, flowsThrough, Quorn]
-
A.
Quorn
chosen
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
-
B.
Bamut
Bamut is a settlement in the Chechen Republic of Russia known for being a major battleground during the First Chechen War.
-
C.
Meatu
Meatu is a rural district and administrative settlement in northern Tanzania’s Simiyu Region, known for its agriculture and livestock-keeping communities.
-
D.
Vitello
Vitello is the Latinized name of Witelo, a 13th-century Polish friar, philosopher, and pioneering scholar of optics in medieval Europe.
-
E.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a3434881908acc4063a9ee9386 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.