Triple
T36420455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Cross to Guy Gibson |
E897138
|
entity |
| Predicate | weaponSystemInvolved |
P152040
|
FINISHED |
| Object | Avro Lancaster bomber |
—
|
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: Avro Lancaster bomber | Statement: [Victoria Cross to Guy Gibson, weaponSystemInvolved, Avro Lancaster bomber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponSystemInvolved Context triple: [Victoria Cross to Guy Gibson, weaponSystemInvolved, Avro Lancaster bomber]
-
A.
weaponSystemAssociatedWith
chosen
Indicates that one entity is functionally or organizationally connected to a particular weapon system, such as by using, supporting, or being part of that system.
-
B.
weaponSystemType
Indicates the specific category or kind of weapon system associated with an entity.
-
C.
usedOnWeaponSystem
Indicates that something (such as a component, technology, or material) is employed as part of, or in conjunction with, a weapon system.
-
D.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
E.
weaponOfInterest
Indicates that an entity is a weapon that is specifically relevant, notable, or targeted for attention within a given context or scenario.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.