Triple
T33420481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20th United States Congress |
E855832
|
entity |
| Predicate | hasSpeakerChamber |
P46769
|
FINISHED |
| Object | United States House of Representatives |
—
|
NE NERFINISHED |
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: United States House of Representatives | Statement: [20th United States Congress, hasSpeakerChamber, United States House of Representatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakerChamber Context triple: [20th United States Congress, hasSpeakerChamber, United States House of Representatives]
-
A.
speakerChamber
chosen
Indicates the legislative chamber or house in which a given speaker holds or held their official position.
-
B.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
C.
hasSpeakerIn
Indicates that an event, work, or communication features a particular entity serving as its speaker.
-
D.
hasMainChamberVolume
Indicates that an entity (such as a device or container) possesses a primary internal chamber characterized by a specific volume.
-
E.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 1, 2026, 1:36 a.m.