Triple
T19217343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GameLine |
E480520
|
entity |
| Predicate | gameTypeSupported |
P103411
|
FINISHED |
| Object | Atari 2600 ROM games |
—
|
LITERAL 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: Atari 2600 ROM games | Statement: [GameLine, gameTypeSupported, Atari 2600 ROM games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameTypeSupported Context triple: [GameLine, gameTypeSupported, Atari 2600 ROM games]
-
A.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
B.
includesGameType
Indicates that one entity contains or supports a particular type or category of game.
-
C.
supportsGames
chosen
Indicates that an entity is capable of running, handling, or being compatible with one or more games.
-
D.
seriesOfSupportedGame
Indicates that one entity is a series or collection consisting of multiple games that are supported by another entity (such as a platform, service, or system).
-
E.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
- F. None of above.
Provenance (3 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3aff9c8190974363683b8246f5 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:23 p.m.