Triple
T32041314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderness Explorer uniform |
E818225
|
entity |
| Predicate | hasMerchandiseForm |
P3585
|
FINISHED |
| Object | cosplay costume |
—
|
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: cosplay costume | Statement: [Wilderness Explorer uniform, hasMerchandiseForm, cosplay costume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMerchandiseForm Context triple: [Wilderness Explorer uniform, hasMerchandiseForm, cosplay costume]
-
A.
hasBookForm
Indicates that something exists or is available in the form of a book.
-
B.
hasExhibitionForm
Indicates that something is presented, displayed, or organized in a particular exhibition format or mode.
-
C.
hasExtensiveMerchandise
Indicates that an entity offers a large and varied range of merchandise or products.
-
D.
hasProduct
chosen
Indicates that an entity possesses, offers, or is associated with a particular product.
-
E.
hadBusinessForm
Indicates that an entity possessed or utilized a particular business form or organizational structure in the context of its activities or operations.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 1, 2026, 12:19 a.m.