Triple
T12119245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Taxation and Budget Reform Commission |
E288647
|
entity |
| Predicate | firstConveneYear |
P12964
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Florida Taxation and Budget Reform Commission, firstConveneYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConveneYear Context triple: [Florida Taxation and Budget Reform Commission, firstConveneYear, 2007]
-
A.
firstMeetingYear
chosen
Indicates the calendar year in which two entities first met or had their initial encounter.
-
B.
yearOfMeeting
Indicates the specific calendar year in which the meeting between the referenced entities took place.
-
C.
firstInternationalYear
Indicates that the referenced year is the first year in which the entity participated in or was involved in an international context or activity.
-
D.
firstSummitDate
Indicates the calendar date on which an entity (such as a person or team) first reached the summit of a particular peak or completed its initial summit ascent.
-
E.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.