Triple
T1935285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FaceTime |
E41429
|
entity |
| Predicate | maximumGroupCallParticipants |
P21198
|
FINISHED |
| Object | 32 |
—
|
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: 32 | Statement: [FaceTime, maximumGroupCallParticipants, 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumGroupCallParticipants Context triple: [FaceTime, maximumGroupCallParticipants, 32]
-
A.
numberOfGroupMembers
Indicates the total count of individual members that belong to a specified group.
-
B.
hasMaximumNumberOfMembers
chosen
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
C.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
D.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
E.
userCount
Indicates the number of users associated with or involved in a given context or entity.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.