Triple
T27638732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simple Machines Forum |
E696532
|
entity |
| Predicate | supportsPrivateMessaging |
P108879
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Simple Machines Forum, supportsPrivateMessaging, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPrivateMessaging Context triple: [Simple Machines Forum, supportsPrivateMessaging, true]
-
A.
hasMessagingFeatures
chosen
Indicates that an entity provides or supports messaging-related capabilities or functions.
-
B.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
C.
canReceiveCommunicationsFrom
Indicates that one entity is able or permitted to receive communications that are sent by another entity.
-
D.
supportsPersonalRequests
Indicates that an entity is willing or able to assist another entity with non-professional, individual, or private requests.
-
E.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: April 27, 2026, 2:25 p.m.