Triple
T1815452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinkel He 219 |
E40425
|
entity |
| Predicate | crewProtection |
P20171
|
FINISHED |
| Object | armoured cockpit |
—
|
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: armoured cockpit | Statement: [Heinkel He 219, crewProtection, armoured cockpit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewProtection Context triple: [Heinkel He 219, crewProtection, armoured cockpit]
-
A.
protectiveEquipment
Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
-
B.
providesProtectionAgainst
chosen
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
C.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
D.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
E.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.