Triple
T37503789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battlemode |
E932038
|
entity |
| Predicate | supportsVoiceChat |
P105023
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Battlemode, supportsVoiceChat, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsVoiceChat Context triple: [Battlemode, supportsVoiceChat, yes]
-
A.
supportsVoIP
chosen
Indicates that one entity provides the capability for Voice over IP (VoIP) communication to or for another entity.
-
B.
haveRichVoiceSystem
Indicates that an entity possesses a voice system characterized by richness, such as depth, fullness, or expressive quality.
-
C.
hasVoiceSystem
Indicates that one entity possesses or is equipped with a particular voice-based system or voice technology.
-
D.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
-
E.
supportsVideoCalling
Indicates that one entity provides or enables video calling functionality for another entity.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.