Triple
T26965525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTF (Decisioni del Tribunale federale) |
E679162
|
entity |
| Predicate | hasAbbreviationInFrench |
P119333
|
FINISHED |
| Object | ATF |
—
|
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: ATF | Statement: [DTF (Decisioni del Tribunale federale), hasAbbreviationInFrench, ATF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationInFrench Context triple: [DTF (Decisioni del Tribunale federale), hasAbbreviationInFrench, ATF]
-
A.
correspondsToAbbreviationInFrench
chosen
Indicates that one entity is the full form or expression for which the other entity serves as the abbreviation in French.
-
B.
hasAbbreviationInPortuguese
Indicates that one entity is used as the Portuguese-language abbreviation or shortened form of another entity.
-
C.
hasFinnishAbbreviation
Indicates that one entity is the standard Finnish-language abbreviation or shortened form of another entity.
-
D.
correspondsToAbbreviationInGerman
Indicates that one entity is the full form or concept for which the other entity serves as the corresponding abbreviation in the German language.
-
E.
hasAbbreviationOrForm
Indicates that one entity serves as an abbreviation, shortened form, or alternative written form of another 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6212035e881909a393a2411149481 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:35 a.m.