Triple
T3782290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIAS |
E85446
|
entity |
| Predicate | typicalExhibitors |
P33707
|
FINISHED |
| Object | major automakers |
—
|
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: major automakers | Statement: [NAIAS, typicalExhibitors, major automakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalExhibitors Context triple: [NAIAS, typicalExhibitors, major automakers]
-
A.
hasExhibitors
chosen
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
B.
exhibitedCompany
Indicates that a company participated as an exhibitor or showcased its products/services at a particular event or venue.
-
C.
impactOnExhibitors
Indicates the effect or consequences that an event, decision, or condition has on exhibitors.
-
D.
usedByExhibitorType
Indicates that something is utilized or applied by a specific type or category of exhibitor.
-
E.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.