Triple
T4355547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talladega Superspeedway |
E98138
|
entity |
| Predicate | turnBanking |
P55733
|
FINISHED |
| Object | approximately 33 degrees |
—
|
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: approximately 33 degrees | Statement: [Talladega Superspeedway, turnBanking, approximately 33 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnBanking Context triple: [Talladega Superspeedway, turnBanking, approximately 33 degrees]
-
A.
hasBankingInTurns
Indicates that an entity participates in banking activities that occur in discrete, alternating turns rather than continuously.
-
B.
bankingInTurns
Indicates that entities are taking alternating roles or actions in a banking-related context, with each one acting in turn rather than simultaneously.
-
C.
offersOnlineBanking
Indicates that a financial institution provides banking services that customers can access and perform over the internet.
-
D.
banking
Indicates that an entity provides or engages in financial services such as holding deposits, managing accounts, or facilitating monetary transactions for another entity.
-
E.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c5773481908446d84897e7a533 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:16 p.m.