Triple
T5853158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beech Bend Park |
E130084
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Sea Dragon |
E550203
|
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: Sea Dragon | Statement: [Beech Bend Park, hasRollerCoaster, Sea Dragon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea Dragon Context triple: [Beech Bend Park, hasRollerCoaster, Sea Dragon]
-
A.
Sea Dragon
chosen
Sea Dragon is a classic swinging pirate ship amusement ride located at Beech Bend Park in Kentucky.
-
B.
The Dragon
"The Dragon" is a track from Vangelis's 1979 electronic music album "China," blending synthesizer-driven soundscapes with an evocative, atmospheric style.
-
C.
Sky Dragons
Sky Dragons is the distinctive nickname and motto associated with the U.S. Army’s XVIII Airborne Corps, reflecting its elite airborne and rapid-deployment capabilities.
-
D.
Seven Seas
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
-
E.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035529cf88190acc547ae839950e7 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1007bbc81908963d3d14c9210c5 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:55 p.m.