Triple
T19142661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish economic miracle |
E468596
|
entity |
| Predicate | governmentTypeDuringPeriod |
P134584
|
FINISHED |
| Object | authoritarian regime |
—
|
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: authoritarian regime | Statement: [Spanish economic miracle, governmentTypeDuringPeriod, authoritarian regime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeDuringPeriod Context triple: [Spanish economic miracle, governmentTypeDuringPeriod, authoritarian regime]
-
A.
governmentTypeDuringUse
Indicates the form of government that was in place while something (such as a building, site, or object) was in use.
-
B.
countryGovernmentSystemDuringExistence
Indicates the form of government a country had during its period of existence.
-
C.
governmentTypeBefore
Indicates the form of government that existed for an entity prior to a specified change or later government type.
-
D.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
E.
governmentTypeDuringPeak
Indicates the form of government that characterized an entity during its period of greatest prominence or influence.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e976e340819098efccc30b2eef0e |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.