Triple
T2471486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.E.I.O.U. |
E55383
|
entity |
| Predicate | hasAbbreviationLetters |
P33659
|
FINISHED |
| Object | A |
—
|
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: A | Statement: [A.E.I.O.U., hasAbbreviationLetters, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationLetters Context triple: [A.E.I.O.U., hasAbbreviationLetters, A]
-
A.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
B.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
C.
hasAbbreviationDots
chosen
Indicates that an abbreviation is written with periods (dots) between its letters or components.
-
D.
hasAdditionalLetters
Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
-
E.
hasInitialLetters
Indicates that one entity’s initial letters or acronym are derived from or correspond to the other 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.