Triple
T28062962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciskei |
E709163
|
entity |
| Predicate | hadLimitedInternationalRelations |
P163440
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ciskei, hadLimitedInternationalRelations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadLimitedInternationalRelations Context triple: [Ciskei, hadLimitedInternationalRelations, yes]
-
A.
diplomaticRelationsSeveredYear
Indicates the year in which formal diplomatic relations between the referenced parties were officially severed.
-
B.
hasInternationalRelation
Indicates that one entity maintains some form of official or recognized international relationship or interaction with another entity.
-
C.
hasDiplomaticRelationShiftedFrom
Indicates that the nature or status of a diplomatic relationship has changed from a previously existing form or state.
-
D.
diplomaticRelationsInterruptedDuring
Indicates that formal diplomatic relations between entities were suspended or broken off during a specified time period or event.
-
E.
historicalRelationsWith
Indicates a relationship where one entity has documented or recognized connections, interactions, or associations with another entity in the past.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64018804c81909397f6bcf1ab0dea |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f637120c008190b2b5adf46f022e48 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f637cad530819086cad3a5ec156013 |
completed | May 2, 2026, 5:43 p.m. |
Created at: April 27, 2026, 8:41 p.m.