Triple
T1417536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thameslink |
E31951
|
entity |
| Predicate | franchiseStart |
P27544
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Thameslink, franchiseStart, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseStart Context triple: [Thameslink, franchiseStart, 2014]
-
A.
franchiseStartSeason
Indicates the season in which a particular franchise or series first began or was introduced.
-
B.
franchiseEventuallyBecame
Indicates that one franchise transformed into, was succeeded by, or ultimately came to be identified as another franchise over time.
-
C.
establishedAsCurrentFranchise
Indicates that an entity has been formally designated or recognized as the current active franchise for another entity.
-
D.
franchiseContinuedAs
Indicates that an existing franchise was succeeded or carried on by another franchise, continuing its storyline, brand, or concept.
-
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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.