Triple
T2496085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StarCraft |
E52154
|
entity |
| Predicate | notableTournamentRegion |
P39810
|
FINISHED |
| Object | Korea e-Sports Association scene |
—
|
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: Korea e-Sports Association scene | Statement: [StarCraft, notableTournamentRegion, Korea e-Sports Association scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTournamentRegion Context triple: [StarCraft, notableTournamentRegion, Korea e-Sports Association scene]
-
A.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
B.
notableTournament
Indicates that an entity is a tournament of particular significance or prominence in relation to another entity.
-
C.
sportsRegionOf
Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
-
D.
regionLeague
Indicates a relationship where a specific region is associated with, belongs to, or is governed by a particular league or league-level organization.
-
E.
viewershipRegion
Indicates the geographic region or area in which content is viewed or for which its audience is measured.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1318f7881908a8fc42943df4879 |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:45 p.m.