Triple
T22415448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Efteling |
E554110
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Symbolica
Symbolica is an immersive dark ride in the Dutch theme park Efteling, themed around a magical palace and featuring trackless vehicles and elaborate fantasy scenes.
|
E1536219
|
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: Symbolica | Statement: [Efteling, hasAttraction, Symbolica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbolica Context triple: [Efteling, hasAttraction, Symbolica]
-
A.
Symbolics
Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
-
B.
Symbolic One
Symbolic One is an American hip hop record producer best known for his work with artists such as Kanye West and Beyoncé.
-
C.
The Symbols
The Symbols is an adult film featuring prolific 1970s pornographic actor John Holmes.
-
D.
The Symbol
The Symbol is a novel by American writer and screenwriter Alvah Bessie, known for its critical exploration of Hollywood and the culture of celebrity.
-
E.
Sygma
Sygma is a musical artist associated with the track "Love Lies."
- 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: Symbolica Triple: [Efteling, hasAttraction, Symbolica]
Generated description
Symbolica is an immersive dark ride in the Dutch theme park Efteling, themed around a magical palace and featuring trackless vehicles and elaborate fantasy scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Symbolica Target entity description: Symbolica is an immersive dark ride in the Dutch theme park Efteling, themed around a magical palace and featuring trackless vehicles and elaborate fantasy scenes.
-
A.
Symbolics
Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
-
B.
Symbolic One
Symbolic One is an American hip hop record producer best known for his work with artists such as Kanye West and Beyoncé.
-
C.
The Symbols
The Symbols is an adult film featuring prolific 1970s pornographic actor John Holmes.
-
D.
The Symbol
The Symbol is a novel by American writer and screenwriter Alvah Bessie, known for its critical exploration of Hollywood and the culture of celebrity.
-
E.
Sygma
Sygma is a musical artist associated with the track "Love Lies."
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594615f881909688b02548ee83eb |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e99ca48190ad93201035c819d6 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:46 p.m.