Triple
T23855866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahitian alphabet |
E592307
|
entity |
| Predicate | hasConsonantLetter |
P16116
|
FINISHED |
| Object | F |
—
|
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: F | Statement: [Tahitian alphabet, hasConsonantLetter, F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsonantLetter Context triple: [Tahitian alphabet, hasConsonantLetter, F]
-
A.
hasNumberOfConsonantLetters
Indicates the relationship between an entity and the count of consonant letters present in its written form.
-
B.
hasConsonantPhonemes
Indicates that an entity possesses or includes one or more consonant phonemes in its phonological system.
-
C.
isConsonantLetter
Indicates that a given letter belongs to the set of consonant characters in a writing system, as opposed to vowels or other symbols.
-
D.
hasConsonantSigns
chosen
Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
-
E.
isConsonant
Indicates that a given character or sound is a consonant rather than a vowel or other symbol.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98b29a881909eb60c1be1acdbe9 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.