Triple
T10021838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyayo era of President Daniel arap Moi |
E200626
|
entity |
| Predicate | legacyDebate |
P57644
|
FINISHED |
| Object | controversial |
—
|
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: controversial | Statement: [Nyayo era of President Daniel arap Moi, legacyDebate, controversial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyDebate Context triple: [Nyayo era of President Daniel arap Moi, legacyDebate, controversial]
-
A.
heritageDebate
Indicates a discussion or dispute concerning the preservation, interpretation, or value of cultural or historical heritage.
-
B.
fieldOfDebate
chosen
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
C.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
-
D.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
E.
historicityDebate
Indicates a debate or scholarly dispute over whether an event, figure, or narrative is historically factual or actually occurred.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd79485881909df562bfff36ccf4 |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.