Triple
T508620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Foreign Service |
E10555
|
entity |
| Predicate | hasCareerTrack |
P14530
|
FINISHED |
| Object | political |
—
|
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: political | Statement: [United States Foreign Service, hasCareerTrack, political]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerTrack Context triple: [United States Foreign Service, hasCareerTrack, political]
-
A.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
B.
hasEnlistedCareerManagementField
Indicates that an entity is associated with a specific enlisted career management field, typically defining its role or specialization within an enlisted personnel structure.
-
C.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
D.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f162f3888190b057ad04e40a30e2 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edfe236481909901cc7d4281b33c |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.