Triple
T20992808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Spy |
E517066
|
entity |
| Predicate | hasAccessFrom |
P1985
|
FINISHED |
| Object | Little Town |
—
|
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: Little Town | Statement: [High Spy, hasAccessFrom, Little Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Town Context triple: [High Spy, hasAccessFrom, Little Town]
-
A.
Little Town
chosen
Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
-
B.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
-
C.
Littleville
Littleville is a small town located in Colbert County in the northwestern part of Alabama, United States.
-
D.
Town on the Hill
Town on the Hill is a track from Chance the Rapper’s 2019 debut studio album *The Big Day*, blending his signature gospel-infused hip hop with reflective, celebratory themes.
-
E.
My Little Town
"My Little Town" is a reflective song by Paul Simon, featuring Art Garfunkel, known for its nostalgic yet critical portrayal of small-town life.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1d829081908de889c542734393 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.