Triple
T4658934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alton |
E102479
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chawton |
E94110
|
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: Chawton | Statement: [Alton, near, Chawton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chawton Context triple: [Alton, near, Chawton]
-
A.
Chawton
chosen
Chawton is a historic village in Hampshire, England, best known as the home of novelist Jane Austen during her most productive writing years.
-
B.
Letcombe Bassett
Letcombe Bassett is a small rural village and civil parish in Oxfordshire, England, situated in the Vale of White Horse near the town of Wantage.
-
C.
Nunnington
Nunnington is a small rural village in North Yorkshire, England, noted for its historic Nunnington Hall and picturesque setting by the River Rye.
-
D.
Wickhambrook
Wickhambrook is a rural village and civil parish in the county of Suffolk in eastern England.
-
E.
Harlaxton
Harlaxton is a village in Lincolnshire, England, best known for the nearby Victorian-era Harlaxton Manor and its historic rural setting.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63271a548190bd9662b69a45d9a5 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaf5a0988190b097ef71301aebbe |
completed | March 21, 2026, 1:57 a.m. |
Created at: March 20, 2026, 1:15 p.m.