Triple
T14174468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 New York International Auto Show |
E351296
|
entity |
| Predicate | mediaPreviewDays |
P113109
|
FINISHED |
| Object | 2018-03-28 |
—
|
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: 2018-03-28 | Statement: [2018 New York International Auto Show, mediaPreviewDays, 2018-03-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaPreviewDays Context triple: [2018 New York International Auto Show, mediaPreviewDays, 2018-03-28]
-
A.
mediaMoment
Indicates a specific point or segment within a media item (such as a video, audio, or broadcast) where a notable event or action occurs.
-
B.
mediaDuringPeriod
Indicates that a piece of media is associated with, occurs in, or is valid for a specified time period.
-
C.
mediaExposure
Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
-
D.
mediaResponse
Indicates that one entity serves as a reply or reaction in a media format (such as audio, video, or image) to another entity or communication.
-
E.
mediaAssets
Indicates a relationship where one entity is associated with one or more media-related resources or files (such as images, videos, or audio).
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:02 a.m.