Triple
T22419680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labour Day Classic |
E554211
|
entity |
| Predicate | broadcastOn |
P833
|
FINISHED |
| Object | RDS |
—
|
NE NERFINISHED |
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: RDS | Statement: [Labour Day Classic, broadcastOn, RDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RDS Context triple: [Labour Day Classic, broadcastOn, RDS]
-
A.
RDS
chosen
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
B.
RDS
RDS is a Microsoft Windows Server role that enables users to remotely access desktops and applications hosted on centralized servers.
-
C.
RDS
RDS is the National Rail station code for Reddish South railway station in Greater Manchester, England.
-
D.
RDS
RDS is a major multi-purpose event venue in Dublin, Ireland, known for hosting exhibitions, concerts, sporting events, and the annual Dublin Horse Show.
-
E.
RDS2
RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594a58508190b41fd16c8de5f8b4 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.