Triple
T8472918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Master System (via Power Base Converter) |
E200319
|
entity |
| Predicate | gameLibrarySource |
P82810
|
FINISHED |
| Object | Sega Master System library |
—
|
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: Sega Master System library | Statement: [Sega Master System (via Power Base Converter), gameLibrarySource, Sega Master System library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameLibrarySource Context triple: [Sega Master System (via Power Base Converter), gameLibrarySource, Sega Master System library]
-
A.
softwareLibrary
Indicates that one entity is a software library that provides code, functionality, or services used by another entity.
-
B.
libraryCatalog
Indicates a relationship where a library’s catalog system organizes, indexes, and provides access information for the items held in the library’s collection.
-
C.
homeGamesCountry
Indicates the country in which an entity’s home games are played.
-
D.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
E.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
- F. None of above. chosen
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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:11 p.m.