Triple
T32033194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska's 3rd congressional district |
E818021
|
entity |
| Predicate | numberOfDistrictsInState |
P143253
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Nebraska's 3rd congressional district, numberOfDistrictsInState, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDistrictsInState Context triple: [Nebraska's 3rd congressional district, numberOfDistrictsInState, 3]
-
A.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
B.
numberOfCongressionalDistrictsInStateAtPresent
chosen
Indicates the current total count of congressional districts that exist within a given state.
-
C.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
D.
hasNumberOfStatesAndDistricts
Indicates a relationship where an entity is associated with a specific count of its constituent states and districts.
-
E.
numberOfDistrictCourts
Indicates the total count of district courts associated with a given 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a017bc21b048190b9c680013de203b6 |
completed | May 11, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_6a017aa09c4481909c3b55e0cd13501e |
completed | May 11, 2026, 6:43 a.m. |
Created at: May 1, 2026, 12:18 a.m.