Triple
T20171719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MON |
E491975
|
entity |
| Predicate | languageOfNOCName |
P15
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [MON, languageOfNOCName, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNOCName Context triple: [MON, languageOfNOCName, French]
-
A.
languageOfNOC
Indicates that a specified language is the official or primary language associated with a particular National Olympic Committee (NOC).
-
B.
languageOfLocalOrganisingCommittee
Indicates the language used by the local organising committee to conduct its activities, communication, and official documentation.
-
C.
languageOfCompetition
Indicates the language in which a competition is conducted or officially presented.
-
D.
languageOfWorkOrName
chosen
Indicates the language in which a work is created or a name is expressed.
-
E.
officialLanguageOfNomination
Indicates the language officially used in the nomination process or documentation for a given entity.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.