Triple
T13255879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mil Mi-26 |
E315655
|
entity |
| Predicate | enteredSeriesProduction |
P109175
|
FINISHED |
| Object | early 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: early 1980s | Statement: [Mil Mi-26, enteredSeriesProduction, early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredSeriesProduction Context triple: [Mil Mi-26, enteredSeriesProduction, early 1980s]
-
A.
laterProduction
Indicates that one production event or version occurs after another in time.
-
B.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
C.
laterProducedIn
Indicates that one production event or version occurred after another in time.
-
D.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
E.
laterProducedBy
Indicates that something is produced or created by an entity at a later time than some referenced or implied production event.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:24 p.m.