Triple
T7685096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 United States House of Representatives elections |
E174095
|
entity |
| Predicate | totalSeatsInChamber |
P73787
|
FINISHED |
| Object | 435 |
—
|
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: 435 | Statement: [1996 United States House of Representatives elections, totalSeatsInChamber, 435]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSeatsInChamber Context triple: [1996 United States House of Representatives elections, totalSeatsInChamber, 435]
-
A.
plenaryChamberCapacity
Indicates the seating capacity of the main plenary chamber where formal sessions or assemblies are held.
-
B.
hasLegislativeChamberSeats
chosen
Indicates that a legislative chamber holds or is allocated a specified number of seats.
-
C.
hasChairCount
Indicates the number of chairs associated with a given entity.
-
D.
numberOfSeatsInSenate
Indicates the total count of seats allocated in a given senate.
-
E.
numberOfSeatsInHouseOfCommons
Indicates the total count of seats allocated in the House of Commons.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.