Triple
T13772030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wharfedale |
E330903
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Burnsall |
E572426
|
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: Burnsall | Statement: [Wharfedale, containsSettlement, Burnsall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnsall Context triple: [Wharfedale, containsSettlement, Burnsall]
-
A.
Burnsall
chosen
Burnsall is a picturesque village in North Yorkshire, England, known for its stone bridge, riverside setting, and traditional Dales scenery.
-
B.
Harput
Harput is an ancient settlement and archaeological site in eastern Turkey known for its historic fortress, churches, and layered cultural heritage spanning multiple civilizations.
-
C.
Dunsdale
Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
-
D.
Stoneyburn
Stoneyburn is a small village in West Lothian, Scotland, known historically for its coal mining roots and close-knit community.
-
E.
Shalden
Shalden is a small rural village and civil parish in the East Hampshire district of Hampshire, 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86907cc8190a6a6b475d08f0dc7 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.