Triple
T3571375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worlds of Fun |
E75577
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object |
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
|
E368790
|
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: Prowler | Statement: [Worlds of Fun, hasRollerCoaster, Prowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prowler Context triple: [Worlds of Fun, hasRollerCoaster, Prowler]
-
A.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
B.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
C.
Viper
Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
-
D.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
E.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
- 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: Prowler Triple: [Worlds of Fun, hasRollerCoaster, Prowler]
Generated description
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prowler Target entity description: Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
A.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
C.
Viper
Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
-
D.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
E.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c32624819097a96b3d62e3d8f0 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbbcf2d08190901049948df66f0c |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bca07cac81908253b2b4225f3d67 |
completed | March 13, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b6e66c81908700d5f3df0a864d |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.