Triple
T11294782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drøbak |
E267421
|
entity |
| Predicate | hasDefenseRole |
P13143
|
FINISHED |
| Object | approaches to Oslo via Oslofjord |
—
|
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: approaches to Oslo via Oslofjord | Statement: [Drøbak, hasDefenseRole, approaches to Oslo via Oslofjord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefenseRole Context triple: [Drøbak, hasDefenseRole, approaches to Oslo via Oslofjord]
-
A.
hasDefenseStrategy
Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
-
B.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
partOfDefenseLine
Indicates that one entity functions as a component or segment within the overall defensive formation or system of another entity.
-
D.
defensiveRole
chosen
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
E.
recognizesDefense
Indicates that one entity acknowledges, identifies, or accepts another entity’s defensive action, strategy, or legal defense as such.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.