Triple
T37471220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Upper Reaches |
E931156
|
entity |
| Predicate | maxPlayersRecommended |
P125759
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [The Upper Reaches, maxPlayersRecommended, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxPlayersRecommended Context triple: [The Upper Reaches, maxPlayersRecommended, 5]
-
A.
maximumPlayerCount
chosen
Indicates the largest number of players that can participate at the same time in the related context or activity.
-
B.
maximumSlotsRecommended
Indicates the highest number of slots that is advised or suggested to be used in a given context.
-
C.
maxPlayersLocal
Indicates the maximum number of players that can participate together on the same local device or in local multiplayer mode.
-
D.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
E.
intendedPlayers
Indicates the players for whom something (such as a game, item, or activity) is designed or meant to be used.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e61d5a48190afc273af1fb54af9 |
completed | May 6, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0c53c08190b64291bac58cdb4c |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.