Triple
T7933436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google I/O |
E184234
|
entity |
| Predicate | hasOnlineSessions |
P79854
|
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: [Google I/O, hasOnlineSessions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineSessions Context triple: [Google I/O, hasOnlineSessions, yes]
-
A.
hasOnlineActivity
Indicates that an entity engages in or possesses some form of activity or presence on the internet or digital platforms.
-
B.
availableOnlineAt
Indicates that something can be accessed or obtained via a specified online source or location.
-
C.
isOnLine
Indicates that one entity is located directly along, or in contact with, a specified line or linear path.
-
D.
hasOnlineReservation
Indicates that an entity has a booking or reservation that was made or is managed through an online system.
-
E.
hasAfterHoursSession
Indicates that an entity conducts or participates in a session that takes place outside of regular or standard operating hours.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acfd2a88190b1a13cd6fdedc272 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.