Triple
T19040808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House delegation from Maine |
E465994
|
entity |
| Predicate | historicalMaximumNumberOfSeats |
P106399
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [United States House delegation from Maine, historicalMaximumNumberOfSeats, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMaximumNumberOfSeats Context triple: [United States House delegation from Maine, historicalMaximumNumberOfSeats, 8]
-
A.
numberOfSeatsInHouseOfRepresentativesPeak
chosen
Indicates the highest recorded number of seats held in the House of Representatives at any point in time.
-
B.
previousNumberOfSeats
Indicates the number of seats an entity had before a change or update in its seating count.
-
C.
numberOfSeatsPeakApprox
Indicates an approximate count of seats available or occupied during peak usage or demand periods.
-
D.
maximumSeatsPerState
Indicates the upper limit on the number of seats that any single state is allowed to have.
-
E.
typicalSeatingCapacityUpperBound
Indicates the maximum number of seats that a venue or vehicle is typically designed or allowed to accommodate under normal conditions.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.