Triple
T6891871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basque Parliament |
E159066
|
entity |
| Predicate | seatsPerConstituency |
P30282
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Basque Parliament, seatsPerConstituency, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsPerConstituency Context triple: [Basque Parliament, seatsPerConstituency, 25]
-
A.
hasSeatsForConstituency
chosen
Indicates that a governing body or institution allocates or provides a certain number of representative seats for a specific constituency.
-
B.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
C.
electoralRegionSeatCount
Indicates the number of seats allocated to a given electoral region within a representative body or legislature.
-
D.
legislativeCouncilSeats
Indicates the number of seats held or allocated in a legislative council within a given political or administrative context.
-
E.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92ecbdc8190992f9c7f4f33f4c4 |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.