Triple
T169085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Blue |
E3078
|
entity |
| Predicate | foundedAsFranchise |
P364
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Big Blue, foundedAsFranchise, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsFranchise Context triple: [Big Blue, foundedAsFranchise, 1925]
-
A.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
B.
team1Franchise
Indicates that an entity serves as or represents the franchise associated with the first team in a given sports or competitive context.
-
C.
foundedAsPartOf
Indicates that an entity was established as a component, division, or subset of a larger existing organization, project, or structure.
-
D.
foundedFor
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
-
E.
team2Franchise
Indicates a relationship where a second team is associated with, or belongs to, a particular 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25665f5b8819096ca3e084faf976e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.