Triple
T1832609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade (retro-style game platform) |
E40791
|
entity |
| Predicate | typicalUserAction |
P7008
|
FINISHED |
| Object | designing levels |
—
|
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: designing levels | Statement: [Arcade (retro-style game platform), typicalUserAction, designing levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUserAction Context triple: [Arcade (retro-style game platform), typicalUserAction, designing levels]
-
A.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
B.
typicalEvent
chosen
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
C.
causeOfAction
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
-
D.
user
Indicates a relationship where an entity actively operates, controls, or interacts with another entity, typically as the primary agent or consumer of its function.
-
E.
traditionalUser
Indicates that a user engages with or is characterized by conventional, established, or customary practices, behaviors, or methods.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.