Triple
T11283663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Cyclones |
E267128
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Cyclones |
E267128
|
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: [Brooklyn Cyclones, shortName, Cyclones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyclones Context triple: [Brooklyn Cyclones, shortName, Cyclones]
-
A.
Cyclones
The Cyclones are the athletic teams representing Iowa State University in collegiate sports competitions.
-
B.
Cyclones
chosen
Cyclones is the nickname of the Brooklyn Cyclones, a Minor League Baseball team based in Brooklyn, New York.
-
C.
Cyclones
The Cyclones are the athletic teams that represent Mills College in intercollegiate sports.
-
D.
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.
-
E.
Cyclone
Cyclone is a DC Comics superheroine and member of the Justice Society of America known for her wind-manipulating powers and energetic, optimistic personality.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f471490081909036362c58e1e727 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.