Triple
T34847663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poker Flat, California |
E1004513
|
entity |
| Predicate | mediumOfMostFamousWork |
P102251
|
FINISHED |
| Object | magazine publication |
—
|
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: magazine publication | Statement: [Poker Flat, California, mediumOfMostFamousWork, magazine publication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfMostFamousWork Context triple: [Poker Flat, California, mediumOfMostFamousWork, magazine publication]
-
A.
mediumOfFame
chosen
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
B.
isFamousWorkOf
Indicates that one entity is a well-known or widely recognized work created by another entity (typically an artist, author, or creator).
-
C.
madeInternationallyFamousBy
Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
-
D.
mediumOfExistence
Indicates the medium, environment, or substrate within which an entity exists, manifests, or is realized.
-
E.
mediumOfRecord
Indicates the primary medium or format through which an event, work, or information is officially documented or recorded.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.