Triple
T18300975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALE |
E438355
|
entity |
| Predicate | benchmarkProperty |
P131257
|
FINISHED |
| Object | fixed action spaces per game |
—
|
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: fixed action spaces per game | Statement: [ALE, benchmarkProperty, fixed action spaces per game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benchmarkProperty Context triple: [ALE, benchmarkProperty, fixed action spaces per game]
-
A.
benchmarkDomain
Indicates that something serves as a standard or reference point for measuring or evaluating performance within a particular domain or area.
-
B.
benchmarkVariant
Indicates that one entity is a specific version or variation of another entity used for benchmarking or performance comparison.
-
C.
benchmarkFor
Indicates that one entity serves as a standard or reference point against which the performance, quality, or characteristics of another entity are measured or evaluated.
-
D.
benchmarkFamily
Indicates that one entity serves as a benchmark or reference standard for evaluating or comparing another entity within the same family or category.
-
E.
benchmarkStatus
Indicates the current evaluation state or outcome of a benchmark process applied to an entity or system.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.