Triple
T5986129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa delegation to the United States House of Representatives |
E133228
|
entity |
| Predicate | historicalMinimumSeats |
P59784
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Iowa delegation to the United States House of Representatives, historicalMinimumSeats, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMinimumSeats Context triple: [Iowa delegation to the United States House of Representatives, historicalMinimumSeats, 1]
-
A.
previousNumberOfSeats
Indicates the number of seats an entity had before a change or update in its seating count.
-
B.
typicalSeatingCapacityLowerBound
Indicates the minimum number of seats that an entity is typically designed or expected to provide.
-
C.
minimumSeatsPerState
chosen
Indicates the smallest number of seats that must be allocated to each state in a representative body or legislative apportionment.
-
D.
hasHistoricalSeat
Indicates that an entity possesses or is associated with a historically significant seat, location, or place of authority.
-
E.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.