Triple
T3932977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auston Matthews |
E90837
|
entity |
| Predicate | juniorTeam |
P8948
|
FINISHED |
| Object | ZSC Lions |
E331644
|
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: ZSC Lions | Statement: [Auston Matthews, juniorTeam, ZSC Lions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSC Lions Context triple: [Auston Matthews, juniorTeam, ZSC Lions]
-
A.
ZSC Lions
chosen
ZSC Lions is a professional ice hockey club from Zürich, Switzerland, known as one of the country’s most successful and prominent teams.
-
B.
SCL Tigers
SCL Tigers is a professional ice hockey club from Langnau im Emmental, Switzerland, competing in the country’s top-tier National League.
-
C.
Sunwolves
The Sunwolves were a professional Japanese rugby union team that competed in the international Super Rugby competition.
-
D.
Guangzhou Loong Lions
Guangzhou Loong Lions are a professional Chinese Basketball Association (CBA) team based in Guangzhou, Guangdong, known for competing at the top level of Chinese basketball.
-
E.
Golden Lions
The Golden Lions are the top prizes awarded for best film at Poland’s prestigious Gdynia Film Festival.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52887d4a48190b51df3f51ff197c0 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.