Triple
T24554934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackem |
E607486
|
entity |
| Predicate | sometimesUsedAs |
P116266
|
FINISHED |
| Object | pejorative term by outsiders |
—
|
LITERAL 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: pejorative term by outsiders | Statement: [Mackem, sometimesUsedAs, pejorative term by outsiders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesUsedAs Context triple: [Mackem, sometimesUsedAs, pejorative term by outsiders]
-
A.
isSometimesUsedFor
chosen
Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
-
B.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
-
C.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
E.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
- F. None of above.
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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.