Triple
T6412180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati Reds–Pittsburgh Pirates rivalry |
E127731
|
entity |
| Predicate | bothFranchisesFoundedIn19thCentury |
P70504
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cincinnati Reds–Pittsburgh Pirates rivalry, bothFranchisesFoundedIn19thCentury, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bothFranchisesFoundedIn19thCentury Context triple: [Cincinnati Reds–Pittsburgh Pirates rivalry, bothFranchisesFoundedIn19thCentury, true]
-
A.
foundedFranchise
Indicates that an entity established or created a particular franchise.
-
B.
franchiseFoundedByFamily
Indicates that a franchise was originally established or created by a family or family members.
-
C.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
D.
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.
-
E.
franchiseEventuallyBecame
Indicates that one franchise transformed into, was succeeded by, or ultimately came to be identified as another franchise over time.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:42 p.m.