Triple
T26965495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATF |
E679161
|
entity |
| Predicate | parallelTitleAbbreviation |
P161734
|
FINISHED |
| Object | BGE |
—
|
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: BGE | Statement: [ATF, parallelTitleAbbreviation, BGE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelTitleAbbreviation Context triple: [ATF, parallelTitleAbbreviation, BGE]
-
A.
parallelTitle
Indicates that an alternative title is provided for the same resource, typically in another language or script, and is considered equivalent in status to the main title.
-
B.
parallelAbbreviation
chosen
Indicates that one term is an abbreviation that runs in parallel to, or is used alongside, another equivalent term or expression.
-
C.
professionalTitleAbbreviation
Indicates that one entity is an abbreviated form of a professional title associated with another entity.
-
D.
academicTitleAbbreviation
Indicates that one entity is the standard abbreviated form of another entity’s full academic title.
-
E.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
- 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_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 6:35 a.m.