Triple
T12333461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The In Crowd |
E294019
|
entity |
| Predicate | countryClubSetting |
P104547
|
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: [The In Crowd, countryClubSetting, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryClubSetting Context triple: [The In Crowd, countryClubSetting, yes]
-
A.
hasCountryClubLocation
Indicates that a country club is located at, or associated with, a specific geographic place or address.
-
B.
governsClub
Indicates that one entity holds governing authority or administrative control over a club.
-
C.
tenantClub
Indicates that a club or organization occupies or rents space as a tenant within a particular property or facility.
-
D.
caddieServices
Indicates that one entity serves as a caddie, providing support and assistance (such as carrying equipment and offering guidance) to another entity, typically in a golf context.
-
E.
hasGolfCourse
Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.