Triple
T2330932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackburn Firebrand |
E44199
|
entity |
| Predicate | enteredOperationalService |
P2339
|
FINISHED |
| Object | late in World War II |
—
|
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: late in World War II | Statement: [Blackburn Firebrand, enteredOperationalService, late in World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredOperationalService Context triple: [Blackburn Firebrand, enteredOperationalService, late in World War II]
-
A.
enteredService
chosen
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
B.
enteredServiceWithUnit
Indicates that an entity began its period of service or active duty while assigned to a specified unit.
-
C.
becameOperational
Indicates that an entity transitioned from a non-functioning or inactive state to an active, functioning, or service-ready state at a certain point in time.
-
D.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
E.
enteredServiceAsReplacementFor
Indicates that one entity began its period of service specifically to take over the role or function previously performed by 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.