Triple
T22288528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machine |
E550926
|
entity |
| Predicate | usesRosterType |
P33564
|
FINISHED |
| Object | adult club |
—
|
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: adult club | Statement: [Machine, usesRosterType, adult club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRosterType Context triple: [Machine, usesRosterType, adult club]
-
A.
supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
B.
usedByRegimeType
Indicates that something (such as a method, policy, or tool) is employed or implemented by a particular type of political regime.
-
C.
usesRumType
Indicates that one entity employs or incorporates a specific type of rum in its composition, process, or activity.
-
D.
usesProfile
Indicates that one entity employs, operates under, or is associated with a particular profile in performing its actions or functions.
-
E.
supportsParticipantType
chosen
Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15609854c81908adb7681cff2c404 |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.