Triple
T29916235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai-lo |
E759801
|
entity |
| Predicate | hasTranscriptionType |
P196212
|
FINISHED |
| Object | phonemic |
—
|
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: phonemic | Statement: [Tai-lo, hasTranscriptionType, phonemic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranscriptionType Context triple: [Tai-lo, hasTranscriptionType, phonemic]
-
A.
isTranscriptionSystem
Indicates that one entity functions as a system or method for transcribing the language, script, or symbols of another entity.
-
B.
isTranscriptionOf
Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
-
C.
hasTransliterationType
Indicates the type or system of transliteration used to convert text from one writing system into another.
-
D.
hasPhonographicType
Indicates that an entity is associated with a specific type or category of phonographic recording or medium.
-
E.
isTranscribedIn
Indicates that the genetic information of an entity (such as a gene or DNA region) is copied into an RNA molecule within a specified context (such as a cell type, tissue, or condition).
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
| PDg | Predicate description generation | batch_69fe1639613c8190aaf1b4c8e2d861ba |
completed | May 8, 2026, 4:58 p.m. |
Created at: April 29, 2026, 6:12 p.m.