Triple
T19450409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari Lynx |
E486599
|
entity |
| Predicate | librarySizeApproximate |
P425
|
FINISHED |
| Object | about 70 commercial 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 70 commercial games | Statement: [Atari Lynx, librarySizeApproximate, about 70 commercial games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librarySizeApproximate Context triple: [Atari Lynx, librarySizeApproximate, about 70 commercial games]
-
A.
librarySystemSize
Indicates the overall scale or capacity of a library system, such as the number of branches, items, or resources it encompasses.
-
B.
collectionSize
chosen
Indicates the total number of items contained within a specified collection.
-
C.
rosterSizeApprox
Indicates that the size of a group or roster is approximately equal to a specified number or range, allowing for minor variation.
-
D.
discSize
Indicates the size or capacity of a disc in the relationship or context being described.
-
E.
editionSize
Indicates the total number of copies or instances produced in a particular edition of something.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.