Triple
T3730477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toraja |
E79047
|
entity |
| Predicate | traditionalMotif |
P51314
|
FINISHED |
| Object | geometric patterns |
—
|
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: geometric patterns | Statement: [Toraja, traditionalMotif, geometric patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalMotif Context triple: [Toraja, traditionalMotif, geometric patterns]
-
A.
traditionalMaterial
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
B.
traditionalCraft
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
C.
traditionalHomeOf
Indicates that a place is historically or customarily regarded as the primary homeland or origin location of a particular group or culture.
-
D.
traditionalEnd
Indicates that one entity is the customary or historically established conclusion, outcome, or final stage of another entity or process.
-
E.
traditionalCountry
Indicates that a country is characterized by long-established customs, cultural practices, and social norms that have been preserved over time.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb1bb5408190990ea4dfbdab5c68 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc45debe48190b1c1f894e02b0316 |
completed | March 8, 2026, 6:47 p.m. |
Created at: March 8, 2026, 3:34 p.m.