Triple
T321079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Senate |
E6416
|
entity |
| Predicate | hasSecondaryOfficerTitle |
P6729
|
FINISHED |
| Object | President pro tempore |
—
|
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: President pro tempore | Statement: [Florida Senate, hasSecondaryOfficerTitle, President pro tempore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryOfficerTitle Context triple: [Florida Senate, hasSecondaryOfficerTitle, President pro tempore]
-
A.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
-
B.
hasViceChairTitle
chosen
Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
-
C.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
-
D.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
E.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e946607081909c8b97473aaf8d1b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.