Triple
T18068777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfax |
E432364
|
entity |
| Predicate | containsArea |
P11790
|
FINISHED |
| Object | Mapleton |
—
|
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: Mapleton | Statement: [Fairfax, containsArea, Mapleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mapleton Context triple: [Fairfax, containsArea, Mapleton]
-
A.
Mapleton
Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
-
B.
Mapleton
Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
-
C.
Mapleton
chosen
Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
-
D.
Mapleton
Mapleton is a primarily residential neighborhood in southwestern Brooklyn, New York City, known for its quiet streets and diverse community.
-
E.
Mapleton
Mapleton is a small, primarily residential city in central Utah known for its rural character and scenic views of the Wasatch Mountains.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.