Triple
T19843885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isotta Fraschini |
E476805
|
entity |
| Predicate | periodOfAutomobileProductionPeak |
P3804
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Isotta Fraschini, periodOfAutomobileProductionPeak, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfAutomobileProductionPeak Context triple: [Isotta Fraschini, periodOfAutomobileProductionPeak, 1920s]
-
A.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
B.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
C.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
D.
historicalPeakIndustrialPeriod
chosen
Indicates the time period during which an entity reached its highest level of industrial activity or development.
-
E.
timePeriodOfProduction
Indicates the span of time during which something was produced or created.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658085a148190a305bde0897dfe84 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.