Triple
T36363727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky's 2nd state Senate district |
E895562
|
entity |
| Predicate | totalStateSenateDistrictsInKentucky |
P50893
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [Kentucky's 2nd state Senate district, totalStateSenateDistrictsInKentucky, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalStateSenateDistrictsInKentucky Context triple: [Kentucky's 2nd state Senate district, totalStateSenateDistrictsInKentucky, 38]
-
A.
numberOfSenateDistricts
chosen
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
B.
hasCountyNumberInKentucky
Indicates that a county is assigned a specific official county number within the state of Kentucky.
-
C.
numberOfCongressionalDistrictsInStateAtPresent
Indicates the current total count of congressional districts that exist within a given state.
-
D.
championshipCountForKentucky
Indicates the number of championships that have been won by Kentucky.
-
E.
senatorialDistrict
Indicates the specific senatorial district to which an entity (such as a person, place, or office) is assigned or associated.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:10 p.m.