Triple
T18354841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | top hat and tuxedo in "Morocco" |
E439761
|
entity |
| Predicate | includesGarment |
P42160
|
FINISHED |
| Object | top hat |
—
|
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: top hat | Statement: [top hat and tuxedo in "Morocco", includesGarment, top hat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesGarment Context triple: [top hat and tuxedo in "Morocco", includesGarment, top hat]
-
A.
hasGarment
chosen
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
clothingFeature
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
-
D.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
E.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.