Triple
T573087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Square Garden Sports |
E13703
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Counter Logic Gaming |
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: Counter Logic Gaming | Statement: [Madison Square Garden Sports, hasPart, Counter Logic Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Counter Logic Gaming Context triple: [Madison Square Garden Sports, hasPart, Counter Logic Gaming]
-
A.
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.
-
B.
Grizz Gaming
Grizz Gaming is the official NBA 2K League esports team affiliated with the Memphis Grizzlies.
-
C.
Pacers Gaming
Pacers Gaming is the official NBA 2K League esports team affiliated with the Indiana Pacers organization.
-
D.
Kings Guard Gaming
Kings Guard Gaming is the NBA 2K League esports team affiliated with the Sacramento Kings organization.
-
E.
Bucks Gaming
Bucks Gaming is the Milwaukee Bucks’ official esports team that competes in the NBA 2K League.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bdb7cc8190922432fe58cfd6cb |
completed | March 2, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:33 p.m.