Triple
T16046804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian legislative election, 2016 |
E389242
|
entity |
| Predicate | totalSeatsSenate |
P48166
|
FINISHED |
| Object | 136 |
—
|
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: 136 | Statement: [Romanian legislative election, 2016, totalSeatsSenate, 136]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSeatsSenate Context triple: [Romanian legislative election, 2016, totalSeatsSenate, 136]
-
A.
numberOfSeatsInSenate
chosen
Indicates the total count of seats allocated in a given senate.
-
B.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
C.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or entity.
-
D.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
E.
numberOfGovernmentSenators
Indicates the total count of senators who are members of the government (ruling party or coalition) associated with a given entity or context.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.