Triple
T37467293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resistance: Fall of Man |
E931062
|
entity |
| Predicate | maxMultiplayerPlayersOnline |
P49836
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Resistance: Fall of Man, maxMultiplayerPlayersOnline, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxMultiplayerPlayersOnline Context triple: [Resistance: Fall of Man, maxMultiplayerPlayersOnline, 40]
-
A.
maxOnlinePlayers
chosen
Indicates the maximum number of players that can be connected or participating simultaneously in an online context.
-
B.
maximumPlayerCount
Indicates the largest number of players that can participate at the same time in the related context or activity.
-
C.
maxPlayersLocal
Indicates the maximum number of players that can participate together on the same local device or in local multiplayer mode.
-
D.
hasMultiplayer
Indicates that an entity (such as a game or application) supports a mode where multiple users can participate or interact simultaneously.
-
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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.