Triple
T10942271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handley Page Hampden |
E258501
|
entity |
| Predicate | operationalUseDeclined |
P29205
|
FINISHED |
| Object | as heavier four‑engined bombers entered service |
—
|
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: as heavier four‑engined bombers entered service | Statement: [Handley Page Hampden, operationalUseDeclined, as heavier four‑engined bombers entered service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalUseDeclined Context triple: [Handley Page Hampden, operationalUseDeclined, as heavier four‑engined bombers entered service]
-
A.
discouragedUsageReason
Indicates the reason why a particular usage, action, or practice is considered discouraged.
-
B.
historicalUsageDeclinedAfter
chosen
Indicates that the frequency or prevalence of using something has decreased after a specified time, event, or condition.
-
C.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
D.
reasonForNonOperation
Indicates the specific cause or explanation for why an entity, system, or process is not currently operating or functioning.
-
E.
declinedAround
Indicates that something decreased in value, intensity, or quantity in the time period surrounding a specified point or event.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.