Triple
T16179211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG Cars |
E392642
|
entity |
| Predicate | exportPeakPeriod |
P70162
|
FINISHED |
| Object | post-World War II era |
—
|
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: post-World War II era | Statement: [MG Cars, exportPeakPeriod, post-World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportPeakPeriod Context triple: [MG Cars, exportPeakPeriod, post-World War II era]
-
A.
namingPeakPeriod
Indicates that a specific time interval is designated or labeled as a peak period within a given context.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
peakProminencePeriod
Indicates the time period during which something reached its highest level of prominence or significance.
-
D.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
E.
peakServicePeriod
Indicates the time interval during which a service experiences its highest or most intensive level of use or operation.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.