Triple
T34409705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAZL |
E883220
|
entity |
| Predicate | equivalentAbbreviationItalian |
P119341
|
FINISHED |
| Object | UFAC |
—
|
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: UFAC | Statement: [BAZL, equivalentAbbreviationItalian, UFAC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentAbbreviationItalian Context triple: [BAZL, equivalentAbbreviationItalian, UFAC]
-
A.
correspondsToAbbreviationInItalian
Indicates that one entity is the full form or concept for which the other entity serves as an abbreviation in Italian.
-
B.
correspondsToItalianAbbreviation
Indicates that one entity is the Italian-language abbreviation or acronym that corresponds to, or represents, the other entity.
-
C.
officialAbbreviationItalian
Indicates that one entity is the official Italian-language abbreviation or acronym used to refer to another entity.
-
D.
abbreviationItalian
chosen
Indicates that one term is an abbreviation of another term in Italian.
-
E.
hasAcronymInItalian
Indicates that an entity is associated with an acronym specifically in the Italian language.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f731cc6d1881908f80386ef4d70a09 |
completed | May 3, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69f7317779e08190bf85777578221a6b |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:59 a.m.