Triple
T2868046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Foreign Service |
E63487
|
entity |
| Predicate | highestPersonalRank |
P4202
|
FINISHED |
| Object | Career 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: Career Ambassador | Statement: [Senior Foreign Service, highestPersonalRank, Career Ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPersonalRank Context triple: [Senior Foreign Service, highestPersonalRank, Career Ambassador]
-
A.
highestRankIn
chosen
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
B.
formerHighest
Indicates that an entity once held the highest rank, position, or status in a given context but no longer does.
-
C.
highestOrgan
Indicates that one entity is the organ with the highest rank, level, or position within a specified system or hierarchy relative to another entity.
-
D.
titleHolderRank
Indicates the relative position or level of precedence assigned to a title holder within a ranked order or hierarchy.
-
E.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfdfef1881909dc52a1b34cd24e3 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.