Triple
T23566685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis Presley’s 1969 Las Vegas engagement |
E579389
|
entity |
| Predicate | showroomName |
P153184
|
FINISHED |
| Object | International Hotel Showroom |
—
|
NE NERFINISHED |
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: International Hotel Showroom | Statement: [Elvis Presley’s 1969 Las Vegas engagement, showroomName, International Hotel Showroom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showroomName Context triple: [Elvis Presley’s 1969 Las Vegas engagement, showroomName, International Hotel Showroom]
-
A.
storefront
Indicates the physical or virtual front-facing location where a business presents and offers its goods or services to customers.
-
B.
showsFurniture
Indicates that one entity visually presents or displays furniture items to another entity or audience.
-
C.
pavilionName
Indicates the name assigned to a specific pavilion.
-
D.
hasShopName
Indicates that an entity (such as a shop or business) is associated with a specific shop name.
-
E.
exhibitName
Indicates that an entity has or is associated with a specific name used as its exhibit title or label.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6d3dcc8190bb127632e101a053 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:35 p.m.