Triple
T700107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latino-Faliscan languages |
E13979
|
entity |
| Predicate | descendantLanguageFamily |
P1047
|
FINISHED |
| Object | Romance languages via Latin |
—
|
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 via Latin | Statement: [Latino-Faliscan languages, descendantLanguageFamily, Romance languages via Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descendantLanguageFamily Context triple: [Latino-Faliscan languages, descendantLanguageFamily, Romance languages via Latin]
-
A.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
B.
languageFamily
chosen
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
C.
languageFamilyStatus
Indicates the classification or recognition status of a language within a particular language family (e.g., primary, branch, extinct, or disputed).
-
D.
languageFamilyCode
Indicates the language family to which a given language belongs, represented by a standardized code.
-
E.
languageFamilyDominant
Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.