Triple
T20074164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida politics |
E499814
|
entity |
| Predicate | hasChamberSeats |
P2608
|
FINISHED |
| Object | 40 seats in the Florida Senate |
—
|
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: 40 seats in the Florida Senate | Statement: [Florida politics, hasChamberSeats, 40 seats in the Florida Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberSeats Context triple: [Florida politics, hasChamberSeats, 40 seats in the Florida Senate]
-
A.
hasChamberNumber
Indicates that an entity is associated with a specific chamber identified by a particular number.
-
B.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
C.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
-
D.
hasSeating
chosen
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
E.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66439efe881909a068c3f05022421 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.