Triple
T15332859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holmwood |
E366582
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object | Ockley |
E280095
|
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: Ockley | Statement: [Holmwood, hasCivilParish, Ockley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ockley Context triple: [Holmwood, hasCivilParish, Ockley]
-
A.
Ockley
chosen
Ockley is a rural village in Surrey, England, known for its historic setting along the ancient Roman road of Stane Street.
-
B.
Wainhill
Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
-
C.
Fishwick
Fishwick is a district of Preston in Lancashire, England, known primarily as a residential area on the eastern side of the city.
-
D.
Glenroy
Glenroy is a residential suburb in Melbourne, Victoria, Australia, known for its diverse community and proximity to the city’s northwestern transport and commercial hubs.
-
E.
Kilnsey
Kilnsey is a small rural village in the Yorkshire Dales of northern England, known for its dramatic limestone crag and scenic countryside.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.