Triple
T5053655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Diplomatic Service |
E113845
|
entity |
| Predicate | employsRank |
P12770
|
FINISHED |
| Object | ambassador |
—
|
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: ambassador | Statement: [UK Diplomatic Service, employsRank, ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsRank Context triple: [UK Diplomatic Service, employsRank, ambassador]
-
A.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
B.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
C.
usesRank
chosen
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
D.
educationRanking
Indicates the relative position or level assigned to an entity based on the quality or performance of its educational attributes or outcomes.
-
E.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.