Triple
T34508315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KY-01 |
E885947
|
entity |
| Predicate | isCountedIn |
P158115
|
FINISHED |
| Object | total number of U.S. House districts |
—
|
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: total number of U.S. House districts | Statement: [KY-01, isCountedIn, total number of U.S. House districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCountedIn Context triple: [KY-01, isCountedIn, total number of U.S. House districts]
-
A.
isCountedAs
Indicates that one entity is treated or included as part of the tally, total, or quantitative assessment of another entity.
-
B.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
C.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
-
D.
includedInCensus
Indicates that an entity was recorded or counted as part of a specific census.
-
E.
countIncludes
chosen
Indicates that a numerical count encompasses or contains a specified subset, element, or component within its total.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.