Triple
T12198161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greens Norton Valley |
E290642
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Greens Norton |
E290642
|
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: Greens Norton | Statement: [Greens Norton Valley, locatedNear, Greens Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greens Norton Context triple: [Greens Norton Valley, locatedNear, Greens Norton]
-
A.
Greens Norton Valley
chosen
Greens Norton Valley is a scenic rural valley in Northamptonshire, England, characterized by its rolling countryside and traditional agricultural landscape.
-
B.
South Green
South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
-
C.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
D.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
E.
Richmond Green
Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c56b4d88190b6a32baff3375dc4 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9150448190b30e6e2dd8eec3b4 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.