Triple
T18198673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Worth |
E435725
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Haworth |
—
|
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: Haworth | Statement: [River Worth, flowsThrough, Haworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haworth Context triple: [River Worth, flowsThrough, Haworth]
-
A.
Haworth
chosen
Haworth is a historic village in West Yorkshire, England, best known as the home of the Brontë sisters and a popular literary and heritage tourism destination.
-
B.
Haworth
Haworth is a global office furniture and workspace solutions company known for its innovative, design-driven products and collaborations with leading designers.
-
C.
Haughton
Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
-
D.
Brantwood
Brantwood is a historic house on the shores of Coniston Water in the English Lake District, best known as the longtime home of Victorian art critic and social thinker John Ruskin.
-
E.
Killingworth
Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.