Triple
T5403516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States congressional apportionment |
E120835
|
entity |
| Predicate | usesMethodSince |
P33646
|
FINISHED |
| Object | 1941 |
—
|
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: 1941 | Statement: [United States congressional apportionment, usesMethodSince, 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMethodSince Context triple: [United States congressional apportionment, usesMethodSince, 1941]
-
A.
usesMethods
chosen
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
B.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
C.
usesNameSince
Indicates that an entity has been using a particular name continuously starting from a specified point in time.
-
D.
usedInMethod
Indicates that something (such as a component, variable, or resource) is utilized or referenced within the execution or implementation of a particular method.
-
E.
usesImplement
Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.