Triple
T3410770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counter Logic Gaming |
E71887
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CLG |
E71887
|
NE 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: CLG | Statement: [Counter Logic Gaming, shortName, CLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLG Context triple: [Counter Logic Gaming, shortName, CLG]
-
A.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
-
B.
CLB
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
C.
Counter Logic Gaming
chosen
Counter Logic Gaming is a professional esports organization best known for its teams in games like League of Legends and its early prominence in North American competitive gaming.
-
D.
LSGG
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
E.
Gen.G Esports
Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9094b2881909262e58a470ed9d0 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdd99248190823875cae2531609 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.