Triple
T10417986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidwill family |
E245569
|
entity |
| Predicate | acquiredFranchiseYear |
P93474
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [Bidwill family, acquiredFranchiseYear, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredFranchiseYear Context triple: [Bidwill family, acquiredFranchiseYear, 1932]
-
A.
foundedAsFranchiseYear
Indicates the year in which an entity was established specifically as a franchise.
-
B.
appliedToFranchiseFoundedIn
Indicates that something (such as a rule, policy, or action) is applied specifically to a franchise that was founded in a particular time or place.
-
C.
franchiseEndYear
Indicates the calendar year in which a franchise relationship or agreement is terminated or ceases to operate.
-
D.
establishedAsCurrentFranchise
Indicates that an entity has been formally designated or recognized as the current active franchise for another entity.
-
E.
foundedFranchise
Indicates that an entity established or created a particular franchise.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2938188190a908316d0a0959be |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:11 p.m.