Triple
T18375455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town |
E446301
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Towne |
—
|
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: Towne | Statement: [Town, hasVariant, Towne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Towne Context triple: [Town, hasVariant, Towne]
-
A.
Towne
chosen
Towne is a surname most notably associated with American actress Katharine Towne.
-
B.
Parrtown
Parrtown was the original name of the Loyalist settlement that later became the city of Saint John in New Brunswick, Canada.
-
C.
Town Square
Town Square is the welcoming entry plaza of Disneyland’s Main Street, U.S.A., featuring guest services, transportation hubs, and iconic views of the park.
-
D.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
E.
Woodgrove
Woodgrove is a residential subzone within the Woodlands planning area in northern Singapore, known for its housing estates and proximity to schools and community amenities.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.