Triple
T12743405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felling |
E304542
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Heworth |
E937554
|
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: Heworth | Statement: [Felling, adjacentTo, Heworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heworth Context triple: [Felling, adjacentTo, Heworth]
-
A.
Haworth
Haworth is a global office furniture and workspace solutions company known for its innovative, design-driven products and collaborations with leading designers.
-
B.
Haworth
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.
-
C.
Heworth, Yorkshire
chosen
Heworth, Yorkshire is a suburban area of York in North Yorkshire, England, known for its historic village character and residential streets.
-
D.
Hotten
Hotten is an English surname most notably associated with Victorian-era publisher and bibliographer John Camden Hotten.
-
E.
Greenhill
Greenhill is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd321bc81908eb61cc05b550754 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c91ed7c81909165dc300d5b23ae |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.