Triple
T18138000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icelandic alphabet |
E434186
|
entity |
| Predicate | hasUniqueLetter |
P17387
|
FINISHED |
| Object | Ð |
—
|
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: Ð | Statement: [Icelandic alphabet, hasUniqueLetter, Ð]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniqueLetter Context triple: [Icelandic alphabet, hasUniqueLetter, Ð]
-
A.
hasDistinctLettersFor
Indicates that one entity is associated with another such that the letters used in the first are all different from (i.e., share no letters with) those used in the second.
-
B.
hasDistinctLetters
Indicates that all letters in the given string or word are unique, with no character repeated.
-
C.
hasUniqueLetterForSound
Indicates that a particular sound is represented by a distinct, dedicated letter that is not used for other sounds.
-
D.
hasLetter
chosen
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
E.
scriptHasDistinctLetters
Indicates that a writing system’s script uses a set of letters that are uniquely distinguishable from one another.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de089f1881908dff9835be5129a1 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.