Triple
T15901883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Luzon languages |
E385607
|
entity |
| Predicate | languageSubgroupOf |
P31853
|
FINISHED |
| Object | Philippine 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: Philippine languages | Statement: [Central Luzon languages, languageSubgroupOf, Philippine languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageSubgroupOf Context triple: [Central Luzon languages, languageSubgroupOf, Philippine languages]
-
A.
linguisticSubgroup
chosen
Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or family.
-
B.
usesLanguageSubfamily
Indicates that one entity communicates or operates using a language that belongs to a specified language subfamily.
-
C.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
-
D.
languageGroupAncestor
Indicates that one language group is an ancestor (historical or genealogical predecessor) of another language group in a language family.
-
E.
macrolanguageGrouping
Indicates that one language is classified as part of a broader macrolanguage grouping that encompasses multiple closely related language varieties.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.