Triple
T35740209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden |
E1033012
|
entity |
| Predicate | beganCarProduction |
P19004
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Holden, beganCarProduction, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganCarProduction Context triple: [Holden, beganCarProduction, 1948]
-
A.
enteredAutomobileProduction
chosen
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
B.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
C.
massProductionStart
Indicates the point in time when an item or product begins to be manufactured at large scale in a mass-production process.
-
D.
beganProducingMotorcycles
Indicates that an entity started the activity or business of manufacturing motorcycles at a particular point in time.
-
E.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.