Triple
T13710197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M6 Toll |
E328749
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Black Country |
E110670
|
NE FINISHED |
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: Black Country | Statement: [M6 Toll, regionServed, Black Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Country Context triple: [M6 Toll, regionServed, Black Country]
-
A.
Black Country
chosen
The Black Country is an industrial region in the West Midlands of England historically known for coal mining, ironworking, and heavy manufacturing.
-
B.
Black Country Rock
Black Country Rock is an independent record label founded by country-rock musician Shooter Jennings, known for releasing genre-blending and alternative country music.
-
C.
Bad Country
Bad Country is a 2014 American crime thriller film about a contract killer who turns informant against a powerful crime syndicate.
-
D.
Cruel Country
Cruel Country is a 2022 double album by American rock band Wilco that explores country-inflected sounds through a loose, expansive song cycle.
-
E.
The Country
"The Country" is a short story by William Faulkner that explores life, class, and moral conflict in the rural American South.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.