Triple
T203145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby, Derbyshire, England |
E4550
|
entity |
| Predicate | grantedCityStatus |
P3422
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [Derby, Derbyshire, England, grantedCityStatus, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedCityStatus Context triple: [Derby, Derbyshire, England, grantedCityStatus, 1977]
-
A.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
B.
hasCityStatusSettlement
chosen
Indicates that a settlement possesses official recognition or designation as a city.
-
C.
grantedTownRights
Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
-
D.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
E.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.