Triple
T21669488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle Premier |
E534807
|
entity |
| Predicate | marketedYears |
P4161
|
FINISHED |
| Object | late 1980s |
—
|
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: late 1980s | Statement: [Eagle Premier, marketedYears, late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedYears Context triple: [Eagle Premier, marketedYears, late 1980s]
-
A.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
B.
marketedYearsInJapan
Indicates the years during which a product was actively marketed in Japan.
-
C.
marketingYear
Indicates the specific 12‑month period used for planning, recording, or analyzing marketing or sales activities for a product or market.
-
D.
modelYears
chosen
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
-
E.
brandLaunchYear
Indicates the calendar year in which a brand was first introduced or launched to the market.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0a9b4481909477245d53f99cb0 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:37 p.m.