Triple
T2664682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Phoenix Stadium |
E55605
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | SMG |
E165167
|
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: SMG | Statement: [University of Phoenix Stadium, operator, SMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMG Context triple: [University of Phoenix Stadium, operator, SMG]
-
A.
SMG
chosen
SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
-
B.
SMG
SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
-
C.
CMG
CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
-
D.
NYC SBS
NYC SBS is a New York City government agency that supports small businesses and job seekers through services like financing assistance, training, and neighborhood development programs.
-
E.
Omni Television
Omni Television is a Canadian multilingual television network known for broadcasting programming in a wide range of languages to serve diverse ethnic communities.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96dba44819085c3e651afba7806 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98dc36d8819086fc739c324f0761 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:54 p.m.