Triple
T1619184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Third Fleet |
E34790
|
entity |
| Predicate | militaryFormationType |
P13145
|
FINISHED |
| Object | Fleet |
—
|
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: Fleet | Statement: [United States Third Fleet, militaryFormationType, Fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryFormationType Context triple: [United States Third Fleet, militaryFormationType, Fleet]
-
A.
militaryFormationLevel
Indicates the hierarchical level or scale of a military formation within an armed forces organizational structure.
-
B.
usedMilitaryFormation
Indicates that an entity employed a specific military formation or tactical arrangement of forces in a military context.
-
C.
navalFormation
chosen
Indicates a relationship where multiple naval units are organized into a coordinated tactical or operational group.
-
D.
garrisonDuringFormation
Indicates that a military unit is stationed in a specific garrison location during its period of formation or initial organization.
-
E.
notableAirFormation
Indicates a significant or noteworthy configuration, pattern, or structure formed in the air (such as clouds, smoke, or other aerial phenomena).
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.