Triple
T5398080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detectorists |
E120705
|
entity |
| Predicate | filmingLocation |
P40
|
FINISHED |
| Object | Essex, England |
E30848
|
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: Essex, England | Statement: [Detectorists, filmingLocation, Essex, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essex, England Context triple: [Detectorists, filmingLocation, Essex, England]
-
A.
Suffolk, England
Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
-
B.
Cambridgeshire, England
Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
-
C.
Essex
chosen
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
-
D.
Middlesex, England
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
-
E.
Upton, Essex, England
Upton, Essex, England is a historic district in East London, notable as the birthplace of pioneering surgeon and antiseptic surgery founder Joseph Lister.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9e104881908d6012c87f30061b |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:04 p.m.