Triple
T34691104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aérospatiale SA 360 Dauphin |
E890893
|
entity |
| Predicate | productionEndedInDecade |
P197810
|
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: [Aérospatiale SA 360 Dauphin, productionEndedInDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionEndedInDecade Context triple: [Aérospatiale SA 360 Dauphin, productionEndedInDecade, 1980s]
-
A.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
B.
completedInDecade
Indicates that an action, event, or process was finished within a specified ten-year time period.
-
C.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
D.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
E.
compiledInDecade
Indicates that the subject was compiled or built during the specified decade.
- F. None of above. chosen
Provenance (4 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
| PDg | Predicate description generation | batch_69feabcca6148190a8eb7b6fa33729c7 |
completed | May 9, 2026, 3:36 a.m. |
Created at: May 1, 2026, 2:05 a.m.