Triple
T20314991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading urban area |
E510355
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Winnersh |
—
|
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: Winnersh | Statement: [Reading urban area, hasSettlement, Winnersh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnersh Context triple: [Reading urban area, hasSettlement, Winnersh]
-
A.
Winnersh
chosen
Winnersh is a suburban village and civil parish in Berkshire, England, situated near the town of Wokingham.
-
B.
Winwick
Winwick is a village and civil parish in Cheshire, England, known for its historic parish church and its location near the town of Newton-le-Willows.
-
C.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
D.
Brinkworth
Brinkworth is a rural village and civil parish in Wiltshire, England, noted for its long, linear layout and historic buildings.
-
E.
Shorwell
Shorwell is a small rural village on the Isle of Wight in England, known for its historic church, traditional thatched cottages, and scenic countryside setting.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67786f4dc8190b02a6c2a4338362d |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:19 a.m.