Triple
T20760689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constructicons |
E510967
|
entity |
| Predicate | franchiseSubline |
P10148
|
FINISHED |
| Object | Generation 1 |
—
|
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: Generation 1 | Statement: [Constructicons, franchiseSubline, Generation 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseSubline Context triple: [Constructicons, franchiseSubline, Generation 1]
-
A.
subfranchiseOf
Indicates that one franchise operates as a subordinate or derivative franchise under the authority or umbrella of another franchise.
-
B.
franchiseLineage
chosen
Indicates the relationship by which one franchise is derived from, succeeds, or is otherwise historically connected to another within the same overarching series or brand.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
franchiseBrand
Indicates that one entity is the brand under which another entity operates as a franchise.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c248701081908ae49fca933e05f6 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.