Triple
T18567291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwanese Holo |
E453787
|
entity |
| Predicate | hasWritingSystem |
P454
|
FINISHED |
| Object | Tailo |
—
|
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: Tailo | Statement: [Taiwanese Holo, hasWritingSystem, Tailo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tailo Context triple: [Taiwanese Holo, hasWritingSystem, Tailo]
-
A.
Tailo
chosen
Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
-
B.
Monki
Monki is a youth-oriented fashion brand offering playful, trend-driven clothing and accessories under the H&M Group.
-
C.
Pakol
Pakol is a soft, round-topped woolen cap traditionally worn by various ethnic groups in the mountainous regions of Afghanistan and Pakistan.
-
D.
Jerzens
Jerzens is a small alpine village and municipality in the Tyrolean Pitztal valley of western Austria, known for its mountain scenery and access to skiing and hiking.
-
E.
Burdines
Burdines was a Florida-based department store chain known for its prominent presence in the state’s retail landscape before being absorbed into the Macy’s brand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53aff027481909ca7257967967650 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:43 a.m.