Triple
T10644467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravity Bar |
E250802
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gravity Bar |
E250802
|
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: Gravity Bar | Statement: [Gravity Bar, name, Gravity Bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gravity Bar Context triple: [Gravity Bar, name, Gravity Bar]
-
A.
Gravity Bar
chosen
Gravity Bar is the panoramic rooftop bar at the Guinness Storehouse in Dublin, renowned for its 360-degree city views and pints of Guinness.
-
B.
J-bar
J-bar is a surface ski lift consisting of J-shaped bars that pull skiers and snowboarders uphill while they remain on the snow.
-
C.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
E.
The See-Saw
The See-Saw is a playful Rococo painting by Jean-Honoré Fragonard that depicts elegantly dressed figures enjoying a garden pastime with a light, flirtatious atmosphere.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.