Triple
T8273554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G-24 |
E193483
|
entity |
| Predicate | holdsMeeting |
P13127
|
FINISHED |
| Object | twice a year at the time of the IMF and World Bank Spring and Annual Meetings |
—
|
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: twice a year at the time of the IMF and World Bank Spring and Annual Meetings | Statement: [G-24, holdsMeeting, twice a year at the time of the IMF and World Bank Spring and Annual Meetings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsMeeting Context triple: [G-24, holdsMeeting, twice a year at the time of the IMF and World Bank Spring and Annual Meetings]
-
A.
hasMeeting
chosen
Indicates that one entity is scheduled to participate in or hold a meeting with another entity or at a specific time or place.
-
B.
holdsIn
Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
-
C.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
-
D.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
E.
meetsTo
Indicates that one entity comes together with another at a specific time and place for an encounter, appointment, or interaction.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798a13388190a3610766d265a61f |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.