Triple
T3174697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornets Venom GT |
E66433
|
entity |
| Predicate | hasEsportsCategory |
P5865
|
FINISHED |
| Object | console esports |
—
|
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: console esports | Statement: [Hornets Venom GT, hasEsportsCategory, console esports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEsportsCategory Context triple: [Hornets Venom GT, hasEsportsCategory, console esports]
-
A.
hasEsportsTitle
Indicates that an entity possesses or has been awarded a specific esports-related title or championship.
-
B.
hasEsport
chosen
Indicates that an entity is associated with or participates in a specific electronic sports (esports) activity or competition.
-
C.
hasUEFACategory
Indicates that an entity is classified under a specific UEFA-defined category or tier.
-
D.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
-
E.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada670c800819098937783e2b05c7a |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.