Triple
T15292379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VAL |
E365558
|
entity |
| Predicate | firstCommercialOperationYear |
P40835
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [VAL, firstCommercialOperationYear, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCommercialOperationYear Context triple: [VAL, firstCommercialOperationYear, 1983]
-
A.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
B.
firstCommercialReleaseYear
chosen
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
C.
operatedSince
Indicates that an entity has been in operation continuously from a specified starting time or date.
-
D.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
E.
operatedInYear
Indicates that an entity was actively operating or functioning during a specified 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.