Triple
T3715663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaWorld Orlando |
E81523
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Kraken |
E382699
|
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: Kraken | Statement: [SeaWorld Orlando, hasRollerCoaster, Kraken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraken Context triple: [SeaWorld Orlando, hasRollerCoaster, Kraken]
-
A.
Kraken
chosen
Kraken is a floorless steel roller coaster at SeaWorld Orlando themed around a mythical sea monster and known for its intense inversions and high speeds.
-
B.
Kraken
Kraken is the National Hockey League team based in Seattle, Washington, known for its maritime-themed branding and deep-sea mythological namesake.
-
C.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
D.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
-
E.
Maelstrom
Maelstrom was a former boat ride attraction in Epcot’s World Showcase at Walt Disney World, themed around Norwegian culture, mythology, and seafaring adventures.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db0ba70481908dfd11ee5c89faff |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.