Triple
T26951486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | punctum and studium |
E678786
|
entity |
| Predicate | languageOfFirstFormulation |
P61092
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [punctum and studium, languageOfFirstFormulation, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFirstFormulation Context triple: [punctum and studium, languageOfFirstFormulation, French]
-
A.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
B.
originallyFormulatedIn
Indicates that something (such as a theory, idea, or work) was first created, expressed, or formally stated in a particular place or time.
-
C.
originalFormulationLanguage
chosen
Indicates the language in which something (such as a text, statement, or formulation) was originally created or expressed.
-
D.
languageOfCoinedTerm
Indicates the language in which a particular term was originally coined or first formulated.
-
E.
languageOfOriginalPromulgation
Indicates the language in which a law, regulation, or official text was originally formally issued or published.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 6:24 a.m.