Triple
T17239896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Doves |
E418462
|
entity |
| Predicate | basedOnFranchiseFounded |
P46462
|
FINISHED |
| Object | 1871 |
—
|
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: 1871 | Statement: [Boston Doves, basedOnFranchiseFounded, 1871]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnFranchiseFounded Context triple: [Boston Doves, basedOnFranchiseFounded, 1871]
-
A.
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.
-
B.
foundedFranchise
Indicates that an entity established or created a particular franchise.
-
C.
foundedAsFranchiseYear
chosen
Indicates the year in which an entity was established specifically as a franchise.
-
D.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or series.
-
E.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e1f385c8190ae44e702923b6f66 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.