Triple
T15797243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brough |
E383012
|
entity |
| Predicate | parishIncludes |
P38128
|
FINISHED |
| Object | Elloughton |
E1176781
|
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: Elloughton | Statement: [Brough, parishIncludes, Elloughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elloughton Context triple: [Brough, parishIncludes, Elloughton]
-
A.
Elloughton
chosen
Elloughton is a village in the East Riding of Yorkshire, England, forming a joint civil parish with the nearby town of Brough.
-
B.
Earlton
Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
-
C.
Haughton
Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
-
D.
Earlestown
Earlestown is a town in Merseyside, England, historically known for its railway and industrial heritage.
-
E.
Oakington
Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dd4fd88190a77b224b4dee6541 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998b52e481908baa20b5a8c1cbcf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.