Triple
T8286228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solitaire |
E193792
|
entity |
| Predicate | isTurnBased |
P82528
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Solitaire, isTurnBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTurnBased Context triple: [Solitaire, isTurnBased, true]
-
A.
hasSinglePlayer
Indicates that something includes, supports, or is designed for a single-player mode or experience.
-
B.
hasMultiplayer
Indicates that an entity (such as a game or application) supports a mode where multiple users can participate or interact simultaneously.
-
C.
supportsOnlineMultiplayer
Indicates that the subject provides functionality for multiple users to play together over an online network.
-
D.
multiplayerType
Indicates the type or mode of multiplayer interaction supported between participants.
-
E.
multiplayerFeature
Indicates that the subject supports or involves multiple users participating together, typically at the same time within the same activity or environment.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad3722481908076508908d18621 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.