Triple
T20647060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padfield |
E507382
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | GLOSSOP |
—
|
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: GLOSSOP | Statement: [Padfield, postTown, GLOSSOP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLOSSOP Context triple: [Padfield, postTown, GLOSSOP]
-
A.
GLOSSOP
chosen
GLOSSOP is a market town in the High Peak district of Derbyshire, England, known for its industrial heritage and proximity to the Peak District National Park.
-
B.
Gloss Up
Gloss Up is an American rapper and songwriter known for her energetic Southern style and collaborations within the Quality Control Music roster.
-
C.
Gloss Drop
Gloss Drop is an energetic, rhythm-driven experimental rock album by the band Battles, known for its intricate drumming and eclectic, genre-blending sound.
-
D.
Goop
Goop is a lifestyle and wellness brand known for its high-end products, health advice, and often controversial alternative medicine recommendations.
-
E.
Looz
Looz is the historical name of the medieval County of Loon, a former principality in what is now eastern Belgium.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.