Triple
T19038027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarratt |
E465926
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chorleywood |
—
|
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: Chorleywood | Statement: [Sarratt, near, Chorleywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chorleywood Context triple: [Sarratt, near, Chorleywood]
-
A.
Chorleywood
chosen
Chorleywood is a commuter village in South East England, known for its green spaces and location on the Metropolitan line within the London commuter belt.
-
B.
Chorley
Chorley is a market town in North West England known historically for its cotton industry and as part of the borough and district within the county of Lancashire.
-
C.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
-
D.
Turnford
Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
-
E.
Banbury
Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7fed99c81909495797c604db044 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:02 p.m.