Triple
T8859993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega 32X |
E210861
|
entity |
| Predicate | numberOfGamesReleased |
P65377
|
FINISHED |
| Object | about 40 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: about 40 games | Statement: [Sega 32X, numberOfGamesReleased, about 40 games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesReleased Context triple: [Sega 32X, numberOfGamesReleased, about 40 games]
-
A.
numberOfReleasedGames
chosen
Indicates the total count of games that have been released by or associated with a given entity.
-
B.
videoGameReleaseYear
Indicates the calendar year in which a particular video game was released.
-
C.
typicalNumberOfGamesRange
Indicates the usual minimum and maximum number of games typically played in the associated context or setting.
-
D.
gamesEdition
Indicates that one entity is a specific edition or version of a game associated with another entity.
-
E.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.