Triple
T30171406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanus numbers |
E766929
|
entity |
| Predicate | baseEditionLanguage |
P77946
|
FINISHED |
| Object | Greek with Latin translation |
—
|
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: Greek with Latin translation | Statement: [Stephanus numbers, baseEditionLanguage, Greek with Latin translation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseEditionLanguage Context triple: [Stephanus numbers, baseEditionLanguage, Greek with Latin translation]
-
A.
languageOfAvailableEditions
chosen
Indicates the language in which the available editions of a work or resource are published.
-
B.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
-
C.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
D.
primaryLanguageVersion
Indicates that one language version of a resource is designated as the main or default version among its language variants.
-
E.
languageOfInternationalEdition
Indicates that a specified language is the language used in the international edition of a work or publication.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f0c2d248190a12c361305d6f00d |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:24 p.m.