Triple
T8390105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quinte Region |
E197920
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tweed |
E266830
|
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: Tweed | Statement: [Quinte Region, hasPart, Tweed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweed Context triple: [Quinte Region, hasPart, Tweed]
-
A.
Tweed
Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
-
B.
Tweed
chosen
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
-
C.
Tweed Ring
The Tweed Ring was a notoriously corrupt political organization that controlled New York City politics in the late 19th century, embezzling vast sums of public money through graft and patronage.
-
D.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
E.
Blue Serge
"Blue Serge" is a jazz composition by bandleader and composer Mercer Ellington, often noted for its sophisticated harmonies and association with the Duke Ellington Orchestra’s repertoire.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810ac380819095bd67f0555ac2a8 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde84427dc8190925150b5d52bc9a0 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.