Triple
T26954962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Sussex Regiment |
E678874
|
entity |
| Predicate | raisedAdditionalBattalionsDuring |
P161372
|
FINISHED |
| Object | Second World War |
—
|
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: Second World War | Statement: [Royal Sussex Regiment, raisedAdditionalBattalionsDuring, Second World War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisedAdditionalBattalionsDuring Context triple: [Royal Sussex Regiment, raisedAdditionalBattalionsDuring, Second World War]
-
A.
raisedAdditionalBattalionsDuring
chosen
Indicates that an entity formed or mobilized extra military battalions during a specified time period or event.
-
B.
raisedRegiment
Indicates that an entity organized, formed, or brought into existence a specific military regiment.
-
C.
numberOfBattalions
Indicates the quantitative relationship specifying how many battalions are associated with a given entity or context.
-
D.
numberOfRegimentsInvolved
Indicates the total count of regiments that participated in or were involved in a specified event or action.
-
E.
commandedTroopsAt
Indicates that a person held command authority over military forces at a specific location or during a particular operation.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620e6c9b481908a6c2608a376086e |
completed | May 2, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:26 a.m.