Triple
T4731165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tackley |
E105010
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Tackley |
E105010
|
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: Tackley | Statement: [Tackley, civilParish, Tackley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tackley Context triple: [Tackley, civilParish, Tackley]
-
A.
Tackley
chosen
Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
-
B.
Tadlow
Tadlow is a small rural village in the county of Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
-
C.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
-
D.
Leagrave
Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64629bc081908754aa8a2630091f |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a9386c81908557fe4feb190e8a |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:19 p.m.