Triple
T35530157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woleai script |
E1026776
|
entity |
| Predicate | associatedLanguageSubgroup |
P31853
|
FINISHED |
| Object | Micronesian 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: Micronesian languages | Statement: [Woleai script, associatedLanguageSubgroup, Micronesian languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLanguageSubgroup Context triple: [Woleai script, associatedLanguageSubgroup, Micronesian 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.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
D.
notableLanguageGroup
Indicates that there is a significant or noteworthy association between an entity and a particular language group.
-
E.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.