Triple
T32732084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Los Angeles Auto Show |
E836980
|
entity |
| Predicate | hasPressDays |
P203015
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [2013 Los Angeles Auto Show, hasPressDays, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPressDays Context triple: [2013 Los Angeles Auto Show, hasPressDays, yes]
-
A.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
B.
hasPressBox
Indicates that a venue or facility includes a designated press box area for media or press personnel.
-
C.
hasHumanPressure
Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
-
D.
hasPromDate
Indicates that one entity is the person who is accompanying another entity as their date to a prom event.
-
E.
hasPeriodOf
Indicates that one entity possesses, experiences, or is associated with a specific span or interval of time.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00dc330b148190aaae2ac6a5327960 |
completed | May 10, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_6a00d9d2904881909dafbfe7b9e5ad81 |
completed | May 10, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_6a00dc3268248190a723e1b7b29f9cda |
completed | May 10, 2026, 7:27 p.m. |
Created at: May 1, 2026, 1:11 a.m.