Triple
T19695752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Palmer (beverage) |
E472953
|
entity |
| Predicate | popularSetting |
P14002
|
FINISHED |
| Object | golf courses |
—
|
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: golf courses | Statement: [Arnold Palmer (beverage), popularSetting, golf courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularSetting Context triple: [Arnold Palmer (beverage), popularSetting, golf courses]
-
A.
popularTheme
Indicates that a particular theme is widely favored, frequently used, or commonly featured across many instances or contexts.
-
B.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
C.
popularFrom
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
D.
popular
Indicates that an entity is widely liked, admired, or favored by many people compared to alternatives.
-
E.
primarySetting
chosen
Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642147c3c8190a4c788e4bb48fe11 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.