Triple
T29789797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian "Break the Internet" Paper magazine cover |
E756369
|
entity |
| Predicate | featuresPublicationCity |
P115435
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [Kim Kardashian "Break the Internet" Paper magazine cover, featuresPublicationCity, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPublicationCity Context triple: [Kim Kardashian "Break the Internet" Paper magazine cover, featuresPublicationCity, New York]
-
A.
projectCity
Indicates that a project is located in, associated with, or primarily takes place within a specific city.
-
B.
authorMainCity
Indicates the primary city with which an author is chiefly associated, such as their main place of residence or work.
-
C.
hasPublicationPlace
chosen
Indicates the place or location where a publication was produced, issued, or made publicly available.
-
D.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
E.
cityOn
Indicates that a city is geographically located on a specified landform, area, or administrative region.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: April 29, 2026, 5:11 p.m.