Triple
T36129323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Ruto |
E1044970
|
entity |
| Predicate | hasRelativeInDiplomacy |
P204755
|
FINISHED |
| Object | June Ruto |
E2182408
|
NE 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: June Ruto | Statement: [Nick Ruto, hasRelativeInDiplomacy, June Ruto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeInDiplomacy Context triple: [Nick Ruto, hasRelativeInDiplomacy, June Ruto]
-
A.
hasTypeOfDiplomacy
Indicates the specific kind or category of diplomatic relationship or practice that applies to an entity or interaction.
-
B.
hasFriendshipPactWith
Indicates a mutual agreement or bond of friendship established between two entities.
-
C.
diplomaticRelation
Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
-
D.
hasDiplomaticForm
Indicates that an entity maintains a specific type or mode of diplomatic representation or relations.
-
E.
hasDiplomaticStance
Indicates the type or nature of diplomatic relationship or attitude one entity holds toward another.
- F. None of above. chosen
Provenance (5 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbb6ffc08190b75bb92777841b50 |
completed | June 23, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.