Triple
T12553835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawgiver pistol |
E300162
|
entity |
| Predicate | languageOfVoiceCommands |
P101184
|
FINISHED |
| Object | English (in most depictions) |
—
|
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: English (in most depictions) | Statement: [Lawgiver pistol, languageOfVoiceCommands, English (in most depictions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfVoiceCommands Context triple: [Lawgiver pistol, languageOfVoiceCommands, English (in most depictions)]
-
A.
languageOfCommand
Indicates that a specified language is the one in which a given command is expressed or issued.
-
B.
languageDevice
chosen
Indicates that a device is associated with, supports, or operates using a particular language.
-
C.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
-
E.
queryLanguage
Indicates that an entity uses or is associated with a particular language for formulating and executing queries.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:58 p.m.