Triple
T2329752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Convention |
E48373
|
entity |
| Predicate | numberOfDistinctAssemblies |
P38957
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Virginia Convention, numberOfDistinctAssemblies, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDistinctAssemblies Context triple: [Virginia Convention, numberOfDistinctAssemblies, 5]
-
A.
numberOfAssemblyMembers
Indicates the total count of members that belong to a particular assembly.
-
B.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
C.
finalAssemblyBy
Indicates that one entity is responsible for performing the last stage of assembling or putting together another entity.
-
D.
numberOfConstituents
Indicates the total count of individual components or members that make up a larger whole or group.
-
E.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
- F. None of above. chosen
Provenance (4 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc2fa25c8190858c1c541b914f4c |
completed | March 7, 2026, 6:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.