Triple
T9285013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studebaker Corporation |
E223170
|
entity |
| Predicate | beganGasolineAutomobileProduction |
P19004
|
FINISHED |
| Object | 1904 |
—
|
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: 1904 | Statement: [Studebaker Corporation, beganGasolineAutomobileProduction, 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganGasolineAutomobileProduction Context triple: [Studebaker Corporation, beganGasolineAutomobileProduction, 1904]
-
A.
enteredAutomobileProduction
chosen
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
B.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
-
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.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
E.
wasFirstCommercializedBy
Indicates that the subject was initially brought to market or made commercially available by the object.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081fe8cc8190b6c1b481c7129689 |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.