Triple
T22509080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gedling district |
E556467
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Carlton |
—
|
NE NERFINISHED |
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: Carlton | Statement: [Gedling district, contains, Carlton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlton Context triple: [Gedling district, contains, Carlton]
-
A.
Carlton
chosen
Carlton is a town in Nottinghamshire, England, situated just east of the city of Nottingham.
-
B.
Carlton
Carlton is a small unincorporated rural community in Washington State’s Methow Valley, known for its scenic setting along the Methow River and outdoor recreation opportunities.
-
C.
Carlton
Carlton is a village and civil parish located within the English county of Suffolk.
-
D.
Carlton
Carlton is an inner-city suburb of Melbourne, Australia, known for its historic architecture, Lygon Street Italian precinct, and proximity to major universities and cultural institutions.
-
E.
Carlton
Carlton is a former British television company and brand best known for operating ITV franchises and producing a wide range of UK television programming in the 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ebe5881908a22d519128415f2 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.