Triple
T32732087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Los Angeles Auto Show |
E836980
|
entity |
| Predicate | isInternationalEvent |
P1499
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2013 Los Angeles Auto Show, isInternationalEvent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInternationalEvent Context triple: [2013 Los Angeles Auto Show, isInternationalEvent, true]
-
A.
hasInternationalEvent
Indicates that an entity hosts, organizes, or is associated with an event involving participants or significance across multiple countries.
-
B.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
isInternationalCompetition
Indicates that a competition involves participants or teams from multiple countries or spans more than one nation’s jurisdiction.
-
D.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
E.
isMajorTourismEventFor
Indicates that an event is a primary or highly significant attraction for tourism in relation to a particular place or entity.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:11 a.m.