Triple
T7835495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa State Cyclones football |
E181680
|
entity |
| Predicate | teamName |
P7598
|
FINISHED |
| Object | Cyclones |
E200131
|
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: Cyclones | Statement: [Iowa State Cyclones football, teamName, Cyclones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyclones Context triple: [Iowa State Cyclones football, teamName, Cyclones]
-
A.
Cyclones
chosen
The Cyclones are the athletic teams representing Iowa State University in collegiate sports competitions.
-
B.
Cyclones
Cyclones is the nickname of the Brooklyn Cyclones, a Minor League Baseball team based in Brooklyn, New York.
-
C.
Cyclone
Cyclone is a family of low-cost, low-power FPGA devices developed by Altera (now part of Intel) for a wide range of embedded and programmable logic applications.
-
D.
Cyclone
Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
-
E.
Cyclone
Cyclone is the nickname of early 20th-century Canadian ice hockey legend Cyclone Taylor, renowned as one of the sport’s first great rushing defensemen.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064cb7e081909e88419863d94dfe |
completed | March 30, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aa3f75881908e5380b5d8f86ea6 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:46 p.m.