Triple
T25351367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson Mk IV |
E635694
|
entity |
| Predicate | primaryTheaterOfOperation |
P139535
|
FINISHED |
| Object | Atlantic Ocean |
—
|
NE NERFINISHED |
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: Atlantic Ocean | Statement: [Hudson Mk IV, primaryTheaterOfOperation, Atlantic Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTheaterOfOperation Context triple: [Hudson Mk IV, primaryTheaterOfOperation, Atlantic Ocean]
-
A.
hasPrimaryTheatreOfWar
chosen
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
-
B.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
-
C.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
-
D.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
E.
militaryTheaterCovered
Indicates that a specified military theater or area of operations falls within the geographic or operational scope covered by another entity (such as a plan, command, or agreement).
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 21, 2026, 1:34 p.m.