Triple
T11124459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elite Hotel |
E263098
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Wheels |
E821247
|
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: Wheels | Statement: [Elite Hotel, includesSong, Wheels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheels Context triple: [Elite Hotel, includesSong, Wheels]
-
A.
Wheels
Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
-
B.
Wheels
chosen
"Wheels" is a song by Australian country singer-songwriter Kasey Chambers, recognized as one of her notable recordings.
-
C.
Wheelie
Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
-
D.
Rolls
Rolls is the surname of Charles Rolls, the British motoring and aviation pioneer who co-founded the luxury automobile manufacturer Rolls-Royce.
-
E.
The Wheel
The Wheel is a prominent observation wheel attraction at ICON Park in Orlando, offering panoramic views of the city and surrounding area.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8643748190a7801fc401dd2b5a |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.