Triple
T16008893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungeons & Dragons |
E388287
|
entity |
| Predicate | typicalPlayerCount |
P99351
|
FINISHED |
| Object | 3–6 |
—
|
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: 3–6 | Statement: [Dungeons & Dragons, typicalPlayerCount, 3–6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlayerCount Context triple: [Dungeons & Dragons, typicalPlayerCount, 3–6]
-
A.
typicalNumberOfPlayers
chosen
Indicates the usual or standard number of players involved in participating in an activity or game.
-
B.
typicalNumberOfGamesRange
Indicates the usual minimum and maximum number of games typically played in the associated context or setting.
-
C.
intendedPlayers
Indicates the players for whom something (such as a game, item, or activity) is designed or meant to be used.
-
D.
hasPlayerCount
Indicates the number of players associated with or participating in a given entity or activity.
-
E.
numberOfPlayersLAN
Indicates the number of players that can participate together over a local area network (LAN) in the related context.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.