Triple
T25460456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISSF World Championships |
E638030
|
entity |
| Predicate | hasSeparateEdition |
P35037
|
FINISHED |
| Object | ISSF World Shotgun Championships |
—
|
NE NERFINISHED |
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: ISSF World Shotgun Championships | Statement: [ISSF World Championships, hasSeparateEdition, ISSF World Shotgun Championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparateEdition Context triple: [ISSF World Championships, hasSeparateEdition, ISSF World Shotgun Championships]
-
A.
hasDifferentEditions
chosen
Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
-
B.
hasEditionAvailability
Indicates that a particular edition of an item is available in a specified form, location, or channel.
-
C.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
D.
hasEditionType
Indicates that one entity is a specific edition type or format classification of another entity (such as a work, publication, or product).
-
E.
hasAlternateEditionISBN
Indicates that one edition of a work is linked to another edition of the same work via its alternate ISBN.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 21, 2026, 2:11 p.m.