Triple
T13802461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Point |
E331672
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dragon City
Dragon City is a popular free-to-play mobile strategy game where players breed, collect, and battle dragons while building and managing a floating city.
|
E1062269
|
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: Dragon City | Statement: [Social Point, notableWork, Dragon City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragon City Context triple: [Social Point, notableWork, Dragon City]
-
A.
DreamVille
DreamVille is the official campsite and vibrant mini-city where Tomorrowland festival attendees stay, featuring themed areas, entertainment, and communal facilities.
-
B.
Jam City
Jam City is a mobile game development studio known for creating popular free-to-play titles, including the Harry Potter: Hogwarts Mystery game.
-
C.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
D.
SimCity Social
SimCity Social was a Facebook-based city-building simulation game that adapted the classic SimCity formula into a social, free-to-play experience.
-
E.
Mytown
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
- 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: Dragon City Triple: [Social Point, notableWork, Dragon City]
Generated description
Dragon City is a popular free-to-play mobile strategy game where players breed, collect, and battle dragons while building and managing a floating city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dragon City Target entity description: Dragon City is a popular free-to-play mobile strategy game where players breed, collect, and battle dragons while building and managing a floating city.
-
A.
DreamVille
DreamVille is the official campsite and vibrant mini-city where Tomorrowland festival attendees stay, featuring themed areas, entertainment, and communal facilities.
-
B.
Jam City
Jam City is a mobile game development studio known for creating popular free-to-play titles, including the Harry Potter: Hogwarts Mystery game.
-
C.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
D.
SimCity Social
SimCity Social was a Facebook-based city-building simulation game that adapted the classic SimCity formula into a social, free-to-play experience.
-
E.
Mytown
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b25c9e5881909d526b38096d6446 |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2f1b3848190bc30537d5092ee07 |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:12 p.m.