Triple
T2406679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reform Act 1867 |
E50290
|
entity |
| Predicate | typeOfFranchiseChange |
P39234
|
FINISHED |
| Object | extension of borough franchise |
—
|
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: extension of borough franchise | Statement: [Reform Act 1867, typeOfFranchiseChange, extension of borough franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFranchiseChange Context triple: [Reform Act 1867, typeOfFranchiseChange, extension of borough franchise]
-
A.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
B.
controlsFranchiseType
Indicates that one entity has authority to determine or manage the type or category of franchise associated with another entity.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
-
E.
franchiseEventuallyBecame
Indicates that one franchise transformed into, was succeeded by, or ultimately came to be identified as another franchise over time.
- F. None of above. chosen
Provenance (4 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abceaa42b88190a790355100fede3d |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:58 p.m.