Triple
T15168658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vélez Sarsfield |
E362425
|
entity |
| Predicate | kitTypeHome |
P22553
|
FINISHED |
| Object | white shirt with blue V, white shorts, white socks |
—
|
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: white shirt with blue V, white shorts, white socks | Statement: [Vélez Sarsfield, kitTypeHome, white shirt with blue V, white shorts, white socks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kitTypeHome Context triple: [Vélez Sarsfield, kitTypeHome, white shirt with blue V, white shorts, white socks]
-
A.
kitType
chosen
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
homeKitType
Indicates the specific HomeKit category or type assigned to a device or accessory within the HomeKit ecosystem.
-
C.
traditionalHomeKitType
Indicates that something is associated with, or categorized by, a traditional type or classification within the HomeKit ecosystem.
-
D.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
E.
kitColorsHome
Indicates the colors used for a team's primary (home) kit or uniform.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.