Triple
T31813589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of the House of Representatives (Jamaica) |
E812074
|
entity |
| Predicate | hasAudioSystem |
P70173
|
FINISHED |
| Object | microphones and sound system for debates |
—
|
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: microphones and sound system for debates | Statement: [Chamber of the House of Representatives (Jamaica), hasAudioSystem, microphones and sound system for debates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudioSystem Context triple: [Chamber of the House of Representatives (Jamaica), hasAudioSystem, microphones and sound system for debates]
-
A.
hasSoundSystem
chosen
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
B.
hasVoiceSystem
Indicates that one entity possesses or is equipped with a particular voice-based system or voice technology.
-
C.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
D.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
E.
hasSoundEngine
Indicates that one entity is equipped with or contains a sound engine component.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 30, 2026, 11:44 p.m.