Triple
T12759647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Narciso |
E304956
|
entity |
| Predicate | hasInUniverseOrganization |
P60680
|
FINISHED |
| Object |
The Scope bar
The Scope bar is a fictional drinking establishment featured within the imagined setting of San Narciso.
|
E1000659
|
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: The Scope bar | Statement: [San Narciso, hasInUniverseOrganization, The Scope bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Scope bar Context triple: [San Narciso, hasInUniverseOrganization, The Scope bar]
-
A.
Ghostbar
Ghostbar is a stylish rooftop nightclub and lounge in Las Vegas known for its panoramic Strip views and upscale party atmosphere.
-
B.
Ascope
Ascope is a town and provincial capital in northern Peru’s La Libertad Region, known for its agricultural surroundings and role in regional administration.
-
C.
K-Scope
K-Scope is a song by British trip hop band Tricky, known for its dark, atmospheric production and influential use in later hip hop sampling.
-
D.
Gravity Bar
Gravity Bar is the panoramic rooftop bar at the Guinness Storehouse in Dublin, renowned for its 360-degree city views and pints of Guinness.
-
E.
Deskbar
Deskbar is the customizable desktop panel and taskbar component of the Haiku operating system, providing quick access to applications, system controls, and notifications.
- 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: The Scope bar Triple: [San Narciso, hasInUniverseOrganization, The Scope bar]
Generated description
The Scope bar is a fictional drinking establishment featured within the imagined setting of San Narciso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Scope bar Target entity description: The Scope bar is a fictional drinking establishment featured within the imagined setting of San Narciso.
-
A.
Ghostbar
Ghostbar is a stylish rooftop nightclub and lounge in Las Vegas known for its panoramic Strip views and upscale party atmosphere.
-
B.
Ascope
Ascope is a town and provincial capital in northern Peru’s La Libertad Region, known for its agricultural surroundings and role in regional administration.
-
C.
K-Scope
K-Scope is a song by British trip hop band Tricky, known for its dark, atmospheric production and influential use in later hip hop sampling.
-
D.
Gravity Bar
Gravity Bar is the panoramic rooftop bar at the Guinness Storehouse in Dublin, renowned for its 360-degree city views and pints of Guinness.
-
E.
Deskbar
Deskbar is the customizable desktop panel and taskbar component of the Haiku operating system, providing quick access to applications, system controls, and notifications.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c9c93248190b77c7d229da64ffb |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67de172088190b055ace0fdcfd1fd |
completed | May 2, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ececce8819080335e67bd747057 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:28 p.m.