Triple
T24266717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samoan alphabet |
E604857
|
entity |
| Predicate | glottalStopSymbolName |
P155384
|
FINISHED |
| Object | koma liliu |
—
|
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: koma liliu | Statement: [Samoan alphabet, glottalStopSymbolName, koma liliu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glottalStopSymbolName Context triple: [Samoan alphabet, glottalStopSymbolName, koma liliu]
-
A.
glottographicType
Indicates the type or nature of a writing or script system used to represent language glottographically.
-
B.
isGuttural
Indicates that a sound, phoneme, or articulation is produced in the throat or back of the vocal tract (i.e., is guttural).
-
C.
placeOfArticulation
Indicates the specific location within the vocal tract where a speech sound is produced.
-
D.
hasVoicelessStops
Indicates that the subject language or sound system includes voiceless stop consonants (such as [p], [t], [k]) in its phonemic inventory.
-
E.
hasNasalConsonants
Indicates that the subject language or word includes one or more nasal consonant sounds in its phonological inventory or pronunciation.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6bfe68819084ec59235ae58ff1 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:06 a.m.