Triple
T7498906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Football Bundesliga |
E177208
|
entity |
| Predicate | broadcastPartner |
P833
|
FINISHED |
| Object | ORF |
E331129
|
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: ORF | Statement: [Austrian Football Bundesliga, broadcastPartner, ORF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORF Context triple: [Austrian Football Bundesliga, broadcastPartner, ORF]
-
A.
ORF
chosen
ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
-
B.
ORF
ORF is the three-letter IATA airport code for Norfolk International Airport in Norfolk, Virginia.
-
C.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
D.
ORC
ORC is the abbreviation for the Organized Reserve Corps, a former component of the United States Army Reserve structure.
-
E.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8b28d0819095c7b666d442c7ab |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.