Triple
T36332934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Shorts |
E894700
|
entity |
| Predicate | partOfKitReferenced |
P202928
|
FINISHED |
| Object | shorts |
—
|
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: shorts | Statement: [The Red Shorts, partOfKitReferenced, shorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfKitReferenced Context triple: [The Red Shorts, partOfKitReferenced, shorts]
-
A.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
C.
catalogPartOf
Indicates that one catalog item is a component, section, or subset of a larger catalog or cataloged collection.
-
D.
relatedToPart
Indicates that one entity has a connection or association with a specific part or component of another entity.
-
E.
partUsed
Indicates that one entity is a component or part that is utilized in the construction, operation, or composition of another entity.
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
| PDg | Predicate description generation | batch_6a00d15e82708190b1246937c695da7e |
completed | May 10, 2026, 6:41 p.m. |
Created at: May 3, 2026, 4:09 p.m.