Triple
T2649461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archytas |
E53861
|
entity |
| Predicate | numberOfTimesElectedGeneral |
P41046
|
FINISHED |
| Object | seven |
—
|
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: seven | Statement: [Archytas, numberOfTimesElectedGeneral, seven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesElectedGeneral Context triple: [Archytas, numberOfTimesElectedGeneral, seven]
-
A.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
B.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
C.
inaugurationFrequency
Indicates how often inaugurations occur within a given time period or context.
-
D.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
-
E.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.