Triple
T8120999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel Squadron |
E189606
|
entity |
| Predicate | typeOfAreaDefended |
P25697
|
FINISHED |
| Object | home waters |
—
|
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: home waters | Statement: [Channel Squadron, typeOfAreaDefended, home waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAreaDefended Context triple: [Channel Squadron, typeOfAreaDefended, home waters]
-
A.
defenseArea
chosen
Indicates a spatial region or zone that is designated for defensive protection or military/security defense activities.
-
B.
canBeDefendedIn
Indicates that something (such as a claim, action, or position) is capable of being justified or supported within a specified context, forum, or framework.
-
C.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
typeOfDefense
Indicates the specific kind or category of defense employed or possessed in a given context.
-
E.
partOfMilitaryArea
Indicates that one entity is located within or belongs to a designated military-controlled area of 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.