Triple
T27920170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate from Florida |
E706183
|
entity |
| Predicate | currentMemberSince |
P102614
|
FINISHED |
| Object | Marco Rubio, January 3, 2011 |
—
|
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: Marco Rubio, January 3, 2011 | Statement: [United States Senate from Florida, currentMemberSince, Marco Rubio, January 3, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentMemberSince Context triple: [United States Senate from Florida, currentMemberSince, Marco Rubio, January 3, 2011]
-
A.
CAFMemberSince
Indicates that an entity has been a member of the CAF (or a specified organization/group named CAF) since a particular date or point in time.
-
B.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
-
C.
startTimeOfMembershipIn
chosen
Indicates the point in time when an entity’s membership in another entity or group begins.
-
D.
UEFAMembershipSince
Indicates that an entity has been a member of UEFA starting from a specified date or point in time.
-
E.
EEFFMemberSince
Indicates the date or point in time when an entity became a member of the EEFF.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 27, 2026, 6:56 p.m.