Triple
T26104100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel theatre of the French Revolutionary Wars |
E658490
|
entity |
| Predicate | seaControlFocus |
P101759
|
FINISHED |
| Object | denial of invasion routes to Britain |
—
|
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: denial of invasion routes to Britain | Statement: [Channel theatre of the French Revolutionary Wars, seaControlFocus, denial of invasion routes to Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaControlFocus Context triple: [Channel theatre of the French Revolutionary Wars, seaControlFocus, denial of invasion routes to Britain]
-
A.
stateOfFocus
Indicates the particular subject, area, or activity that an entity is currently concentrating attention or effort on.
-
B.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
C.
oceanicControl
chosen
Indicates control, dominance, or authoritative influence exerted over oceanic regions or maritime areas.
-
D.
importFocus
Indicates that attention, priority, or emphasis is being brought into or concentrated on a particular entity or aspect.
-
E.
bayControl
Indicates that one entity has strategic or operational control over a bay or bay area.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60774d1648190a2616433371e1d51 |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:57 p.m.