Triple
T351963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Sea Lion |
E7461
|
entity |
| Predicate | plannedLandingMethod |
P12133
|
FINISHED |
| Object | amphibious assault across the English Channel |
—
|
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: amphibious assault across the English Channel | Statement: [Operation Sea Lion, plannedLandingMethod, amphibious assault across the English Channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedLandingMethod Context triple: [Operation Sea Lion, plannedLandingMethod, amphibious assault across the English Channel]
-
A.
landingMethodFirstStage
Indicates the method by which the first stage of a launch vehicle returns and lands after separation.
-
B.
dateOfLanding
Indicates the specific calendar date on which a landing event took place.
-
C.
landingGear
Indicates that an entity’s landing gear is present, deployed, or otherwise involved in a landing-related state or action relative to another entity or context.
-
D.
hasInstrumentApproach
Indicates that an approach procedure to a location or runway is conducted using specified navigation instruments or instrument-based methods.
-
E.
numberOfCrewedLandings
Indicates the count of distinct landing events that involved a crewed (human-occupied) spacecraft.
- F. None of above. chosen
Provenance (4 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7f1be88190964ddcbb6a05f021 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0a4c448190a8a179daa9b90645 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.