Triple
T20263432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Magic Mountain |
E498901
|
entity |
| Predicate | hasArea |
P175
|
FINISHED |
| Object |
Metropolis
Metropolis is a DC Comics–themed area in various Six Flags parks, styled as Superman’s iconic city with related rides and attractions.
|
E1420935
|
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: Metropolis | Statement: [Six Flags Magic Mountain, hasArea, Metropolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metropolis Context triple: [Six Flags Magic Mountain, hasArea, Metropolis]
-
A.
Metropolis
Metropolis is a landmark 1927 German expressionist science-fiction film directed by Fritz Lang, renowned for its pioneering special effects and dystopian vision of a futuristic urban society.
-
B.
Metropolis
Metropolis is a major Ethereum protocol upgrade that introduced significant improvements to scalability, security, and usability of the blockchain.
-
C.
Metropolis
Metropolis is a family of modern, high-capacity metro trains developed by Alstom for urban rapid transit systems worldwide.
-
D.
Metropolis
Metropolis is a science fiction television series inspired by Fritz Lang’s classic 1927 film, exploring a futuristic city divided by class and technological power.
-
E.
Metropolis
Metropolis is a major region in the EVE Online universe, known as a core territory of the Minmatar Republic and a hub of trade and activity.
- 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: Metropolis Triple: [Six Flags Magic Mountain, hasArea, Metropolis]
Generated description
Metropolis is a DC Comics–themed area in various Six Flags parks, styled as Superman’s iconic city with related rides and attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metropolis Target entity description: Metropolis is a DC Comics–themed area in various Six Flags parks, styled as Superman’s iconic city with related rides and attractions.
-
A.
Metropolis
Metropolis is a fictional, futuristic American city in the DC Comics universe, best known as Superman’s primary home and the backdrop for many of his stories.
-
B.
Metropolis
Metropolis is a major region in the EVE Online universe, known as a core territory of the Minmatar Republic and a hub of trade and activity.
-
C.
Metropolis
Metropolis is a major urban area of London that historically fell under the jurisdiction of Peel’s Act, which established the modern professional police force.
-
D.
Metropolis
Metropolis is a science fiction television series inspired by Fritz Lang’s classic 1927 film, exploring a futuristic city divided by class and technological power.
-
E.
Metropolis
Metropolis is a family of modern, high-capacity metro trains developed by Alstom for urban rapid transit systems worldwide.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0855311d4c8190bab2119e20359ae9 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855c6bab08190831cc78647de84fc |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856da3e748190866c328a6c61b3d8 |
completed | May 16, 2026, 11:36 a.m. |
Created at: April 11, 2026, 11:41 p.m.