Triple
T9038279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadillac Ranch |
E216552
|
entity |
| Predicate | earliestCarModelYear |
P39672
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [Cadillac Ranch, earliestCarModelYear, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestCarModelYear Context triple: [Cadillac Ranch, earliestCarModelYear, 1949]
-
A.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
B.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
C.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
D.
firstProductionYear
chosen
Indicates the year in which something (such as a product, work, or item) was first produced.
-
E.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac35db081908222e233933060b0 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.