Triple
T13411686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanga Islands |
E320102
|
entity |
| Predicate | hasTraditionalArtForm |
P33125
|
FINISHED |
| Object | mask making |
—
|
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: mask making | Statement: [Tanga Islands, hasTraditionalArtForm, mask making]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalArtForm Context triple: [Tanga Islands, hasTraditionalArtForm, mask making]
-
A.
traditionalArtForm
chosen
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
B.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
C.
hasTraditionalDance
Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
-
D.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
E.
hasArtFormPresented
Indicates that an entity presents, showcases, or features a particular art form.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.