Triple
T20293016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RioT |
E510072
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RioT |
—
|
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: RioT | Statement: [RioT, hasAbbreviation, RioT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RioT Context triple: [RioT, hasAbbreviation, RioT]
-
A.
RioT
chosen
RioT is the former nickname for Rio Tinto Stadium, the soccer-specific venue in Sandy, Utah that long served as the home of Major League Soccer club Real Salt Lake.
-
B.
SenSys
SenSys is a premier ACM research conference focusing on embedded networked sensor systems and related technologies.
-
C.
Veria NFC
Veria NFC is a Greek professional football club based in the city of Veroia, competing in the national league system.
-
D.
RFID
RFID (Radio-Frequency Identification) is a wireless technology that uses electromagnetic fields to automatically identify and track tagged objects, commonly employed in areas like inventory management, access control, and contactless payments.
-
E.
Tile IR
Tile IR is an intermediate representation used within the PlaidML machine learning compiler to express and optimize tensor computations across diverse hardware backends.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677024de08190bfa54ae26b5486d1 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:12 a.m.