Triple
T37209836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Cities Assembly Plant |
E922268
|
entity |
| Predicate | peakAnnualProduction |
P12993
|
FINISHED |
| Object | over 200,000 vehicles per year (approximate) |
—
|
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: over 200,000 vehicles per year (approximate) | Statement: [Twin Cities Assembly Plant, peakAnnualProduction, over 200,000 vehicles per year (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakAnnualProduction Context triple: [Twin Cities Assembly Plant, peakAnnualProduction, over 200,000 vehicles per year (approximate)]
-
A.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
-
B.
annualCapacity
chosen
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
C.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
D.
averageAnnualGeneration
Indicates the typical amount of something produced or generated per year, averaged over a specified multi-year period.
-
E.
expectedAnnualGeneration
Indicates the amount of output (typically energy or production) that a system or asset is expected to generate over the course of a year.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.