Triple
T20775607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Committee of Sports for the Deaf |
E511345
|
entity |
| Predicate | hasOfficialEventCategory |
P69091
|
FINISHED |
| Object | summer multi-sport events |
—
|
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: summer multi-sport events | Statement: [International Committee of Sports for the Deaf, hasOfficialEventCategory, summer multi-sport events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialEventCategory Context triple: [International Committee of Sports for the Deaf, hasOfficialEventCategory, summer multi-sport events]
-
A.
hasOfficialEvents
chosen
Indicates that an entity organizes, hosts, or is associated with formally recognized or sanctioned events.
-
B.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a competition.
-
C.
hasProgramCategory
Indicates that a program is classified under a specific category or type of program.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
hasExhibitCategory
Indicates that an exhibit is associated with a particular category or type of exhibit.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26b06ac81909aef3b0a0ad79a33 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.