Triple
T3413578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikoku 88-temple pilgrimage |
E71953
|
entity |
| Predicate | traditionalPilgrimAttire |
P49310
|
FINISHED |
| Object | white clothing |
—
|
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: white clothing | Statement: [Shikoku 88-temple pilgrimage, traditionalPilgrimAttire, white clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalPilgrimAttire Context triple: [Shikoku 88-temple pilgrimage, traditionalPilgrimAttire, white clothing]
-
A.
traditionalWearer
Indicates that an entity customarily wears or is characterized by wearing traditional or culturally specific clothing.
-
B.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
-
C.
primaryPilgrims
Indicates that the referenced entities are the main or principal participants undertaking a pilgrimage in relation to something or someone.
-
D.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
E.
clothingSymbolism
Indicates how clothing or attire conveys symbolic meaning, such as status, identity, emotion, or cultural significance, within a given context.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb927e8d081908a5ab283da93beb2 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb23d23088190aeafe1379eae2eaa |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.