Triple
T12669961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesterday's Enterprise |
E302650
|
entity |
| Predicate | franchisePlacement |
P106207
|
FINISHED |
| Object | Prime Timeline is restored by the end of the episode |
—
|
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: Prime Timeline is restored by the end of the episode | Statement: [Yesterday's Enterprise, franchisePlacement, Prime Timeline is restored by the end of the episode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePlacement Context triple: [Yesterday's Enterprise, franchisePlacement, Prime Timeline is restored by the end of the episode]
-
A.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
B.
franchiseArea
Indicates the geographic region or territory within which a franchisee is authorized to operate under a franchising agreement.
-
C.
positionOnFranchise
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
D.
distributesFranchise
Indicates that one party grants or allocates franchise rights or opportunities to another party.
-
E.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:20 p.m.