Triple
T36034726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG Petronas Formula One Team |
E1042364
|
entity |
| Predicate | constructorDebutYear |
P7549
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Mercedes-AMG Petronas Formula One Team, constructorDebutYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorDebutYear Context triple: [Mercedes-AMG Petronas Formula One Team, constructorDebutYear, 2010]
-
A.
debutYear
chosen
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
B.
assemblyStartYear
Indicates the calendar year in which an assembly process or assembly-related activity begins.
-
C.
definitionYear
Indicates the year in which something was formally defined, established, or given its official definition.
-
D.
managerDebutYear
Indicates the year in which an individual first began their role as a manager.
-
E.
coachStartYear
Indicates the year in which a person began serving in a coaching role for a particular team or organization.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:07 p.m.