Triple
T10335609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Essay on the Origin and Formation of the Romance Languages |
E242994
|
entity |
| Predicate | languageFamilyDiscussed |
P46510
|
FINISHED |
| Object | Romance languages |
—
|
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: Romance languages | Statement: [An Essay on the Origin and Formation of the Romance Languages, languageFamilyDiscussed, Romance languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFamilyDiscussed Context triple: [An Essay on the Origin and Formation of the Romance Languages, languageFamilyDiscussed, Romance languages]
-
A.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
B.
languageFamilyConcerned
chosen
Indicates that something is related to, involves, or pertains to a particular language family.
-
C.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
D.
languageFamilyContext
Indicates the broader linguistic family or grouping within which a particular language or linguistic element is situated.
-
E.
languageFamilyOfWork
Indicates that a work belongs to or is classified under a particular language family.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:53 a.m.