Triple
T4814700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upsilon |
E107159
|
entity |
| Predicate | representsSoundInModernGreek |
P58358
|
FINISHED |
| Object | /i/ |
—
|
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: /i/ | Statement: [Upsilon, representsSoundInModernGreek, /i/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsSoundInModernGreek Context triple: [Upsilon, representsSoundInModernGreek, /i/]
-
A.
representsSoundInModernHebrew
Indicates that one entity serves as the modern Hebrew sound representation or phonetic realization of another entity.
-
B.
IPAValueModernGreek
chosen
Indicates the modern Greek IPA (International Phonetic Alphabet) pronunciation value associated with a given linguistic unit.
-
C.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
D.
typeOfGreek
Indicates that one entity is a specific kind or category of Greek associated with the other entity.
-
E.
IPAValueAncientGreek
Indicates the International Phonetic Alphabet (IPA) pronunciation value associated with a form in Ancient Greek.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.