Triple
T159698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSN |
E3254
|
entity |
| Predicate | teamCodeType |
P6866
|
FINISHED |
| Object | three-letter code |
—
|
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: three-letter code | Statement: [WSN, teamCodeType, three-letter code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCodeType Context triple: [WSN, teamCodeType, three-letter code]
-
A.
typeOfTeams
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
B.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
C.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
-
D.
typicalTeamDesignation
Indicates the standard or commonly used team name or label that is typically assigned to an entity.
-
E.
team1
Indicates that the referenced entity is the first team or side participating in a competitive or relational context.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.