Triple
T5719486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia House of Delegates |
E126105
|
entity |
| Predicate | legislatureNumberOfHouses |
P24196
|
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: [West Virginia House of Delegates, legislatureNumberOfHouses, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislatureNumberOfHouses Context triple: [West Virginia House of Delegates, legislatureNumberOfHouses, 2]
-
A.
numberOfLegislativeChambers
chosen
Indicates the quantity of distinct legislative chambers that a given political or legislative body possesses.
-
B.
numberOfLegislatures
Indicates the total count of distinct legislatures associated with or relevant to a given entity.
-
C.
hasBicameralStructure
Indicates that an entity possesses a two-chamber (two-house) internal organizational or legislative structure.
-
D.
legislatureStructure
Indicates how a legislative body is organized, such as its internal composition, chambers, and structural arrangement.
-
E.
parliamentaryHouse
Indicates that one entity functions as a parliamentary chamber or house within the legislative system of 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.