Triple
T5662509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Thakeham |
E124776
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Thakeham |
E479099
|
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: Thakeham | Statement: [Little Thakeham, locatedIn, Thakeham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thakeham Context triple: [Little Thakeham, locatedIn, Thakeham]
-
A.
Thakeham
chosen
Thakeham is a rural village and civil parish in West Sussex, England, known for its historic buildings and countryside setting within the Horsham District.
-
B.
Ingatestone
Ingatestone is a historic village and civil parish in southeast England known for its traditional architecture and commuter links to London.
-
C.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
D.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
E.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02321ce6c819080371e0cfbb4bc4f |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097d7e0fc81909f051f8789ef9fb9 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:43 p.m.