Triple
T4943906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dido |
E110999
|
entity |
| Predicate | languageOfSecondaryAncientSources |
P51529
|
FINISHED |
| Object | Greek |
—
|
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 | Statement: [Dido, languageOfSecondaryAncientSources, Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSecondaryAncientSources Context triple: [Dido, languageOfSecondaryAncientSources, Greek]
-
A.
ancientLanguages
Indicates that the related entities are languages that originated in and were used during ancient historical periods.
-
B.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
C.
hasSecondaryLanguageTradition
chosen
Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
-
D.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
E.
historicalLanguageOfScholarship
Indicates that a language has historically been used as a primary medium of scholarly, academic, or learned communication for a given community, region, or tradition.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.