Triple
T13426133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally1 |
E313485
|
entity |
| Predicate | firstSeasonWithManufacturers |
P109861
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Rally1, firstSeasonWithManufacturers, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonWithManufacturers Context triple: [Rally1, firstSeasonWithManufacturers, 2022]
-
A.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
B.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
C.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
-
D.
firstSerializationYear
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
-
E.
firstEditionSeason
Indicates the season or time period during which something (such as a work or product) was first published, released, or issued in its original edition.
- F. None of above. chosen
Provenance (4 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.