Triple
T15724428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Anthony's cross |
E381185
|
entity |
| Predicate | traditionallyWornBy |
P84687
|
FINISHED |
| Object | monks of Saint Anthony |
—
|
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: monks of Saint Anthony | Statement: [Saint Anthony's cross, traditionallyWornBy, monks of Saint Anthony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyWornBy Context triple: [Saint Anthony's cross, traditionallyWornBy, monks of Saint Anthony]
-
A.
typicallyWornBy
chosen
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
B.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
-
C.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
-
D.
traditionalDressColor
Indicates the color associated with an entity’s traditional or customary dress or clothing.
-
E.
wornAs
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.