Triple
T4227918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 113th United States Congress |
E94503
|
entity |
| Predicate | compositionChamberCount |
P1545
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [113th United States Congress, compositionChamberCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionChamberCount Context triple: [113th United States Congress, compositionChamberCount, 2]
-
A.
compositionChamber
Indicates a relationship where a chamber or enclosed space is used as the setting or environment in which a composition (such as a musical, chemical, or artistic work) is created or formed.
-
B.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
C.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
D.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
E.
includesChamber
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.