Triple
T506220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gibbs |
E10506
|
entity |
| Predicate | JoeGibbsRacingFoundedYear |
P12896
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Joe Gibbs, JoeGibbsRacingFoundedYear, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JoeGibbsRacingFoundedYear Context triple: [Joe Gibbs, JoeGibbsRacingFoundedYear, 1992]
-
A.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
B.
foundingDateOfInvolvement
Indicates the date on which an entity first became involved in, or began its participation in, a particular relationship, organization, or activity.
-
C.
team1Established
Indicates that the first team in a given context has been founded or formally established.
-
D.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
E.
incorporationYear
chosen
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14c83f08190b1028f4929866db4 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfce7a08190a408bc019de60d5d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.