Triple
T37783248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loopy Landscapes |
E941883
|
entity |
| Predicate | originalGameEngine |
P26587
|
FINISHED |
| Object | RollerCoaster Tycoon engine |
E278209
|
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: RollerCoaster Tycoon engine | Statement: [Loopy Landscapes, originalGameEngine, RollerCoaster Tycoon engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalGameEngine Context triple: [Loopy Landscapes, originalGameEngine, RollerCoaster Tycoon engine]
-
A.
gameEngine
chosen
Indicates that one entity serves as the game engine or core runtime system used to develop, run, or power another entity (such as a game or interactive application).
-
B.
gameEngineDeveloper
Indicates that an entity is a developer responsible for creating or maintaining a game engine used to build video games.
-
C.
gameEngineType
Indicates the type or category of game engine associated with or used by an entity.
-
D.
gameEngineWork
Indicates that an entity works on, contributes to, or is employed in the development or maintenance of a game engine.
-
E.
notableGameEngineFor
Indicates that a particular game engine is especially recognized or significant for developing or powering a given game or set of games.
- F. None of above.
Provenance (4 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb7296f481909d601bc47001bc58 |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.