Triple
T34005239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaya Guaya |
E871940
|
entity |
| Predicate | vocalLanguageFamily |
P181282
|
FINISHED |
| Object | Romance languages |
—
|
NE NERFINISHED |
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: [Guaya Guaya, vocalLanguageFamily, Romance languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalLanguageFamily Context triple: [Guaya Guaya, vocalLanguageFamily, Romance languages]
-
A.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
B.
majorLanguageFamilies
Indicates that one entity is a primary or dominant language family to which the other entity (a language or group of languages) belongs.
-
C.
dialectFamily
Indicates that one dialect belongs to, or is classified under, a particular dialect family.
-
D.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
E.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
- F. None of above. chosen
Provenance (4 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 1:50 a.m.