Triple
T2710147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawker Sea Hawk |
E59838
|
entity |
| Predicate | enteredRoyalNavyFrontlineService |
P42480
|
FINISHED |
| Object | early 1950s |
—
|
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: early 1950s | Statement: [Hawker Sea Hawk, enteredRoyalNavyFrontlineService, early 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredRoyalNavyFrontlineService Context triple: [Hawker Sea Hawk, enteredRoyalNavyFrontlineService, early 1950s]
-
A.
shipCommissionedAs
Indicates that a ship entered active service under a specific name or designation at the time of its commissioning.
-
B.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
C.
navy
Indicates that an entity serves as or is associated with a nation's naval military force.
-
D.
placeOfMilitaryService
Indicates the location or institution where a person performed their military service.
-
E.
succeededByAsSecretaryOfTheNavy
Indicates that one person was followed in the role of Secretary of the Navy by another person.
- F. None of above. chosen
Provenance (4 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.