Triple
T10747239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennet School |
E253481
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Thatcham |
E50071
|
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: Thatcham | Statement: [Kennet School, locatedIn, Thatcham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thatcham Context triple: [Kennet School, locatedIn, Thatcham]
-
A.
Thatcham
chosen
Thatcham is a historic market town in Berkshire, England, often cited as one of the oldest continuously inhabited settlements in the country.
-
B.
Thelnetham
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
-
C.
Chelsham
Chelsham is a small rural village in Surrey, England, known for its countryside setting and traditional character.
-
D.
Chesham
Chesham is a market town in the Chiltern Hills of Buckinghamshire, England, known historically for its boot, brush, and woodenware industries.
-
E.
Teversham
Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b85d9c8190a66f536e2f22ed04 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e6afdf0c8190924cb14512a89ee8 |
completed | April 18, 2026, 8:16 p.m. |
Created at: April 8, 2026, 9:15 p.m.