Triple
T4403475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden UC Torana |
E93669
|
entity |
| Predicate | introducedInModelYear |
P3297
|
FINISHED |
| Object | 1978 model year |
—
|
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: 1978 model year | Statement: [Holden UC Torana, introducedInModelYear, 1978 model year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInModelYear Context triple: [Holden UC Torana, introducedInModelYear, 1978 model year]
-
A.
introducedInYear
chosen
Indicates the year in which something was first introduced, launched, or made available.
-
B.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
C.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
D.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
-
E.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.