Triple
T15842524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell Racing Organisation |
E384132
|
entity |
| Predicate | constructorsTitleYear |
P120075
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [Tyrrell Racing Organisation, constructorsTitleYear, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorsTitleYear Context triple: [Tyrrell Racing Organisation, constructorsTitleYear, 1971]
-
A.
EuroTitleYear
Indicates the year in which an entity received or held a specific European title or championship.
-
B.
titleYear
Indicates the specific year associated with the release, publication, or official designation of a given title.
-
C.
titleInheritanceYear
Indicates the year in which a title was inherited or passed on to a new holder.
-
D.
yearTitleCreated
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
-
E.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007869ae481909473ee220a7ccdb5 |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:50 a.m.