Triple
T2578190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acerbo Law |
E57025
|
entity |
| Predicate | seatPremium |
P9552
|
FINISHED |
| Object | two-thirds of Chamber of Deputies seats to the leading list |
—
|
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: two-thirds of Chamber of Deputies seats to the leading list | Statement: [Acerbo Law, seatPremium, two-thirds of Chamber of Deputies seats to the leading list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatPremium Context triple: [Acerbo Law, seatPremium, two-thirds of Chamber of Deputies seats to the leading list]
-
A.
seatCategory
Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
-
B.
seatSelectionPolicy
chosen
Indicates the rules or constraints governing how seats are chosen or assigned in a given context.
-
C.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
D.
seatTraditionallyAssociated
Indicates that one entity is a seat or position that is customarily or historically linked with another entity, such as a role, office, or title.
-
E.
seatingPosition
Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.