Triple
T4890822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wearside |
E109554
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Mackem |
E149817
|
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: Mackem | Statement: [Wearside, hasDialect, Mackem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackem Context triple: [Wearside, hasDialect, Mackem]
-
A.
Mackem
chosen
Mackem is a regional English dialect and associated identity from the Sunderland area of North East England.
-
B.
Blakie
Blakie is a variant form of the given name Blake, typically used as a nickname or informal alternative.
-
C.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
D.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
E.
Hucknall
Hucknall is a market town in Nottinghamshire, England, historically known for its coal mining industry and as the burial place of the poet Lord Byron.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be681a3d7881908120dc642af3f58a |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:28 p.m.