Triple
T14992105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playland Amusement Park |
E373859
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Derby Racer |
E176306
|
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: Derby Racer | Statement: [Playland Amusement Park, hasPart, Derby Racer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derby Racer Context triple: [Playland Amusement Park, hasPart, Derby Racer]
-
A.
Derby Racer
chosen
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
B.
Rex Racer
Rex Racer is a fictional race car driver from the "Speed Racer" franchise, known as Speed's mysterious older brother who races under the alias Racer X.
-
C.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
D.
Racers
Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
-
E.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969842848190a030db797c851fed |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:53 a.m.