Triple
T36215186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondo South Senatorial District |
E1047672
|
entity |
| Predicate | legislativeBodySeatCount |
P11035
|
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: [Ondo South Senatorial District, legislativeBodySeatCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeBodySeatCount Context triple: [Ondo South Senatorial District, legislativeBodySeatCount, 1]
-
A.
hasLegislativeChamberSeats
Indicates that a legislative chamber holds or is allocated a specified number of seats.
-
B.
legislativeAssemblySeats
chosen
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
C.
governingBodySeats
Indicates the number of seats or positions an entity holds in a specified governing body.
-
D.
parliamentarySeatsTotal
Indicates the total number of seats in a given parliament or parliamentary body.
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b57c75fc81908196ba43d149c4da |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.