Triple
T34213200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pommeau de Normandie |
E877714
|
entity |
| Predicate | introducedAsCommercialProduct |
P1929
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Pommeau de Normandie, introducedAsCommercialProduct, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsCommercialProduct Context triple: [Pommeau de Normandie, introducedAsCommercialProduct, 1980s]
-
A.
introducedInCommercialSystems
Indicates that something first appeared or was initially deployed within commercial (rather than experimental or academic) systems.
-
B.
wasFirstCommercializedBy
Indicates that the subject was initially brought to market or made commercially available by the object.
-
C.
firstCommercialUse
chosen
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
D.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
E.
introducedAsBrandFor
Indicates that one entity was presented or launched to the public specifically as the brand representing another entity.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 1, 2026, 1:55 a.m.