Triple
T8083754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borda count |
E188679
|
entity |
| Predicate | scoreAssignment |
P80411
|
FINISHED |
| Object | points assigned to candidates based on their position in each ranking |
—
|
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: points assigned to candidates based on their position in each ranking | Statement: [Borda count, scoreAssignment, points assigned to candidates based on their position in each ranking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreAssignment Context triple: [Borda count, scoreAssignment, points assigned to candidates based on their position in each ranking]
-
A.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
B.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
-
C.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
D.
gradingSystem
Indicates the method or criteria by which performance, quality, or achievement is evaluated and assigned a grade or score.
-
E.
scoreUsedFor
Indicates that a particular score or rating is used for a specific purpose, decision, or downstream process.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:29 p.m.