Triple
T5263553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winged Wheel |
E118883
|
entity |
| Predicate | fanNickname |
P23575
|
FINISHED |
| Object | Winged Wheel |
E118883
|
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: Winged Wheel | Statement: [Winged Wheel, fanNickname, Winged Wheel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winged Wheel Context triple: [Winged Wheel, fanNickname, Winged Wheel]
-
A.
Winged Wheel
chosen
Winged Wheel is the iconic winged tire logo that symbolizes the Detroit Red Wings hockey franchise.
-
B.
The Wheel
The Wheel is a prominent observation wheel attraction at ICON Park in Orlando, offering panoramic views of the city and surrounding area.
-
C.
King’s Wing
King’s Wing is a prominent residential and ceremonial section of Frederiksborg Castle in Denmark, historically used by the Danish monarch.
-
D.
The Wheel Spins
The Wheel Spins is a 1936 mystery novel by Ethel Lina White, best known as the source material for Alfred Hitchcock’s classic film The Lady Vanishes.
-
E.
The Wheel in Space
The Wheel in Space is a 1968 Doctor Who serial featuring the Second Doctor, notable for introducing companion Zoe Heriot and pitting the Doctor against the Cybermen in a space station setting.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd2eff4819087420e30c140e6f6 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe88ba588190b130f1857536816f |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.