Triple
T263604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Minimum Wage Act of 2007 |
E5805
|
entity |
| Predicate | firstIncreaseIn |
P9383
|
FINISHED |
| Object | a decade |
—
|
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: a decade | Statement: [Fair Minimum Wage Act of 2007, firstIncreaseIn, a decade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIncreaseIn Context triple: [Fair Minimum Wage Act of 2007, firstIncreaseIn, a decade]
-
A.
increases
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstRaisedAt
Indicates the initial time or context at which an issue, topic, or matter was first brought up or introduced.
-
D.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
E.
firstOffered
Indicates that one entity was the earliest or initial provider or proposer of something to another entity or context.
- F. None of above. chosen
Provenance (4 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_69a258dd8ea08190ac554a1cc8dfd8c3 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NER | Named-entity recognition | batch_69a25d8e809881908a58c9a4e3ba07c3 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.