Triple
T8083763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borda count |
E188679
|
entity |
| Predicate | aggregationType |
P75567
|
FINISHED |
| Object | preference aggregation method |
—
|
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: preference aggregation method | Statement: [Borda count, aggregationType, preference aggregation method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregationType Context triple: [Borda count, aggregationType, preference aggregation method]
-
A.
aggregationProperty
Indicates that one entity serves as an aggregation or summary of values or instances associated with another entity.
-
B.
dataAggregation
chosen
Indicates the process by which multiple data points or datasets are combined into a summarized or consolidated form.
-
C.
quantificationType
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
D.
calculationType
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
E.
statisticsType
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415e61ac81909e924aea69a7ff77 |
completed | March 31, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.