Triple
T7663384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OIC Summit |
E173561
|
entity |
| Predicate | hasAttendeeCount |
P1131
|
FINISHED |
| Object | 57 OIC member states (typically represented) |
—
|
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: 57 OIC member states (typically represented) | Statement: [OIC Summit, hasAttendeeCount, 57 OIC member states (typically represented)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttendeeCount Context triple: [OIC Summit, hasAttendeeCount, 57 OIC member states (typically represented)]
-
A.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
B.
membersCalled
Indicates that specific members of a group or collection are being referred to or identified by a particular name or label.
-
C.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
D.
hasAttendanceType
Indicates the specific category or mode of attendance associated with an event or participant (e.g., in-person, virtual, hybrid).
-
E.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.