Triple
T357440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Disney World Railroad |
E7574
|
entity |
| Predicate | hasLocomotive |
P12267
|
FINISHED |
| Object |
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
|
E59834
|
NE FINISHED |
How this triple was built (4 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: Lilly Belle | Statement: [Walt Disney World Railroad, hasLocomotive, Lilly Belle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilly Belle Context triple: [Walt Disney World Railroad, hasLocomotive, Lilly Belle]
-
A.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
B.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
C.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
-
D.
Billie
Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
-
E.
Lily
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lilly Belle Triple: [Walt Disney World Railroad, hasLocomotive, Lilly Belle]
Generated description
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilly Belle Target entity description: Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
A.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
B.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
C.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
-
D.
Billie
Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
-
E.
Lily
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
- F. None of above. chosen
Provenance (5 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c58de0881908c09850b6ceac8c6 |
completed | March 1, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69a46cc070f48190a58b65b67efa25de |
completed | March 1, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a46d2002d8819086691b73f8fbaae2 |
completed | March 1, 2026, 4:45 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.