Triple
T16865995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | planet Mongo |
E410037
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Sky City
Sky City is a floating metropolis in the Flash Gordon universe, known as the aerial kingdom ruled by Prince Vultan on the planet Mongo.
|
E1236913
|
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: Sky City | Statement: [planet Mongo, hasRegion, Sky City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky City Context triple: [planet Mongo, hasRegion, Sky City]
-
A.
Sky City
Sky City is the historic mesa-top village of Acoma Pueblo in New Mexico, renowned as one of the oldest continuously inhabited communities in the United States.
-
B.
Sapphire City
Sapphire City is the popular nickname for Inverell, a New South Wales town renowned for its rich sapphire and gemstone mining heritage.
-
C.
Sunshine City
Sunshine City is the bright, coastal capital of Ilocos Norte in the Philippines, known for its sunny climate and historic Spanish colonial architecture.
-
D.
Sunshine City
Sunshine City is the cheerful nickname for Orillia, a picturesque Ontario city known for its sunny lakeside setting and vibrant tourism.
-
E.
Sunshine City
Sunshine City is a large commercial and entertainment complex in Tokyo’s Ikebukuro district, featuring shopping malls, an aquarium, an observatory, and various leisure facilities.
- 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: Sky City Triple: [planet Mongo, hasRegion, Sky City]
Generated description
Sky City is a floating metropolis in the Flash Gordon universe, known as the aerial kingdom ruled by Prince Vultan on the planet Mongo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sky City Target entity description: Sky City is a floating metropolis in the Flash Gordon universe, known as the aerial kingdom ruled by Prince Vultan on the planet Mongo.
-
A.
Sky City
Sky City is the historic mesa-top village of Acoma Pueblo in New Mexico, renowned as one of the oldest continuously inhabited communities in the United States.
-
B.
Sapphire City
Sapphire City is the popular nickname for Inverell, a New South Wales town renowned for its rich sapphire and gemstone mining heritage.
-
C.
Sunshine City
Sunshine City is the bright, coastal capital of Ilocos Norte in the Philippines, known for its sunny climate and historic Spanish colonial architecture.
-
D.
Sunshine City
Sunshine City is the cheerful nickname for Orillia, a picturesque Ontario city known for its sunny lakeside setting and vibrant tourism.
-
E.
Sunshine City
Sunshine City is a large commercial and entertainment complex in Tokyo’s Ikebukuro district, featuring shopping malls, an aquarium, an observatory, and various leisure facilities.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b5088f208190abfe937633ebe3fe |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb294c0481908306e1f604cc7404 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbd9260c8190be29ee8cb3e05f2c |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.