Triple
T17630562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitchin and Harpenden |
E429963
|
entity |
| Predicate | hasElectoralWard |
P962
|
FINISHED |
| Object | Kimpton ward |
—
|
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: Kimpton ward | Statement: [Hitchin and Harpenden, hasElectoralWard, Kimpton ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimpton ward Context triple: [Hitchin and Harpenden, hasElectoralWard, Kimpton ward]
-
A.
Kimpton
chosen
Kimpton is a small rural village and civil parish in Hertfordshire, England, known for its historic church and traditional English countryside setting.
-
B.
Kimpton
Kimpton is a rural civil parish and village in Hampshire, England, known for its historic church and countryside setting.
-
C.
Kimpton Hotels
Kimpton Hotels is a boutique hotel chain known for its stylish, design-focused properties and personalized guest experiences, primarily operating in urban locations across the United States and beyond.
-
D.
Fairmont
Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
E.
Fairmont
Fairmont is a city in north-central West Virginia known historically for its role in the coal industry and as part of the greater Morgantown metropolitan area.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc01b1c819099e3329cfb8cb77f |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.