Triple
T1908797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertfordshire |
E38060
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Leavesden |
E117463
|
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: Leavesden | Statement: [Hertfordshire, containsSettlement, Leavesden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leavesden Context triple: [Hertfordshire, containsSettlement, Leavesden]
-
A.
Leavesden Studios
chosen
Leavesden Studios is a major British film and television production facility in Hertfordshire, best known as the primary studio base for the Harry Potter film series.
-
B.
Shepperton
Shepperton is a suburban town in Surrey, England, known for its film studios and riverside location on the River Thames.
-
C.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
D.
Bagshot Heath
Bagshot Heath is an extensive area of heathland in Surrey, England, known for its open, sandy terrain, wildlife habitats, and use for military training and outdoor recreation.
-
E.
Bagshot Green
Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b55edc8190bce8ac97196939a9 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafdad3c8190be7aeaed8bdeac43 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.