Triple
T9127969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Student Festival in Trondheim |
E219011
|
entity |
| Predicate | numberOfParticipantsPerEdition |
P1131
|
FINISHED |
| Object | approximately 450 international students |
—
|
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: approximately 450 international students | Statement: [International Student Festival in Trondheim, numberOfParticipantsPerEdition, approximately 450 international students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParticipantsPerEdition Context triple: [International Student Festival in Trondheim, numberOfParticipantsPerEdition, approximately 450 international students]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
C.
numberOfParticipatingCities
Indicates the total count of cities that take part in a specified event, program, or activity.
-
D.
editionOfCompetition
Indicates that one entity is a specific edition or iteration of a recurring competition or tournament.
-
E.
screeningsPerEdition
Indicates the number of screenings associated with each edition of an event or series.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cad9c0819082d61f53865ef0b4 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.