Triple
T4678791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkenazi Jews |
E103745
|
entity |
| Predicate | traditionalDressVariant |
P58974
|
FINISHED |
| Object | Hasidic dress |
—
|
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: Hasidic dress | Statement: [Ashkenazi Jews, traditionalDressVariant, Hasidic dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalDressVariant Context triple: [Ashkenazi Jews, traditionalDressVariant, Hasidic dress]
-
A.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
traditionalPilgrimAttire
Indicates that an entity is wearing or associated with clothing customarily worn by pilgrims in a particular cultural or religious tradition.
-
D.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
E.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.