Triple
T2796912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quake franchise |
E53056
|
entity |
| Predicate | hasSinglePlayer |
P43217
|
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: [Quake franchise, hasSinglePlayer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSinglePlayer Context triple: [Quake franchise, hasSinglePlayer, true]
-
A.
supportsOnlineMultiplayer
Indicates that the subject provides functionality for multiple users to play together over an online network.
-
B.
hasPlayer
Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
-
C.
supportsLocalMultiplayer
Indicates that the subject provides functionality for multiple players to play together on the same device or local network.
-
D.
hasSingle
Indicates that an entity possesses exactly one instance of a specified related entity or attribute.
-
E.
hasSingleRiderLine
Indicates that a ride or attraction offers a dedicated line for solo riders, separate from the regular queue.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:58 p.m.