Triple
T26983985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Boyard |
E679681
|
entity |
| Predicate | televisionUseStartDate |
P24583
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Fort Boyard, televisionUseStartDate, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionUseStartDate Context triple: [Fort Boyard, televisionUseStartDate, 1990]
-
A.
hasTelevisionUsage
Indicates that an entity makes use of, accesses, or is associated with the use of a television.
-
B.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
C.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
D.
firstYearOfUse
chosen
Indicates the year in which something was first put into use or began being used.
-
E.
televisionTechnologyUsed
Indicates that a particular television or television-related product operates using, or is based on, a specified technology.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621588b5881908f7a272c8a15fcf2 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:47 a.m.