Triple
T12029399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990s U.S. economic expansion |
E286360
|
entity |
| Predicate | latePeriodUnemploymentRateApprox |
P102856
|
FINISHED |
| Object | around 4 percent by 2000 |
—
|
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: around 4 percent by 2000 | Statement: [1990s U.S. economic expansion, latePeriodUnemploymentRateApprox, around 4 percent by 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latePeriodUnemploymentRateApprox Context triple: [1990s U.S. economic expansion, latePeriodUnemploymentRateApprox, around 4 percent by 2000]
-
A.
unemploymentPeak
Indicates that the level of unemployment has reached its highest point within a specified time period or context.
-
B.
unemploymentSupplementAmountPerWeekUSD
Indicates the amount of money in U.S. dollars that is provided each week as an unemployment benefit supplement.
-
C.
isUnemployedAtStartOf
Indicates that an individual is unemployed at the beginning of a specified time period or event.
-
D.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
E.
flexibleFurloughIntroducedOn
Indicates the date on which a flexible furlough arrangement was first implemented or came into effect.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.