Triple
T23852590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Model 18 |
E592211
|
entity |
| Predicate | yearOfV8IntroductionAtFord |
P43214
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [Ford Model 18, yearOfV8IntroductionAtFord, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfV8IntroductionAtFord Context triple: [Ford Model 18, yearOfV8IntroductionAtFord, 1932]
-
A.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
B.
engineIntroduced
chosen
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
C.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
D.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
E.
yearDeliveredApprox
Indicates that the year an item or entity was delivered is known only approximately, rather than as an exact calendar year.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.