Triple
T38226817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Coast Guard officer corps |
E1012166
|
entity |
| Predicate | highestPeacetimeRank |
P195849
|
FINISHED |
| Object | admiral |
—
|
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: admiral | Statement: [United States Coast Guard officer corps, highestPeacetimeRank, admiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPeacetimeRank Context triple: [United States Coast Guard officer corps, highestPeacetimeRank, admiral]
-
A.
highestWartimeRank
Indicates the most senior military rank an individual attained during a period of war.
-
B.
populationRankInHistory
Indicates the relative position of an entity’s population size compared to others across all recorded historical periods.
-
C.
rankInPentarchy
Indicates the relative hierarchical position an entity holds within the structure of the pentarchy.
-
D.
nationalRankingHistorical
Indicates the historical position or level an entity held within a national ranking over time.
-
E.
politicalEntityAtPeak
Indicates that a political entity is at the height of its power, influence, or effectiveness during a particular time or context.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
| PDg | Predicate description generation | batch_69fde9fb68388190ada4a7018e2a2f76 |
completed | May 8, 2026, 1:49 p.m. |
Created at: May 3, 2026, 4:30 p.m.