Triple
T4436496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohegan |
E95662
|
entity |
| Predicate | traditionalArts |
P5963
|
FINISHED |
| Object | basketry |
—
|
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: basketry | Statement: [Mohegan, traditionalArts, basketry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalArts Context triple: [Mohegan, traditionalArts, basketry]
-
A.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
B.
traditionalCraft
chosen
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
C.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
D.
intangibleHeritageDomain
Indicates that something belongs to, or is categorized within, a specific domain or category of intangible cultural heritage.
-
E.
traditionalMotif
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558b1d4481909060ede5e0ded4bc |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.