Triple
T20150807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Kite Festival in Ahmedabad |
E491427
|
entity |
| Predicate | hasParticipantCountries |
P28323
|
FINISHED |
| Object | multiple countries from Asia |
—
|
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: multiple countries from Asia | Statement: [International Kite Festival in Ahmedabad, hasParticipantCountries, multiple countries from Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticipantCountries Context triple: [International Kite Festival in Ahmedabad, hasParticipantCountries, multiple countries from Asia]
-
A.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
B.
countryParticipation
chosen
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
-
C.
hasParticipantNationalityRange
Indicates that the participants in an event or relation come from a specified range or set of nationalities.
-
D.
hasEuropeanParticipation
Indicates that an entity involves or includes participation from European individuals, organizations, or countries.
-
E.
hasNonRegionalMemberCountries
Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.