Triple
T2942552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westland Lynx |
E79420
|
entity |
| Predicate | statusInUK |
P44098
|
FINISHED |
| Object | largely retired |
—
|
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: largely retired | Statement: [Westland Lynx, statusInUK, largely retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInUK Context triple: [Westland Lynx, statusInUK, largely retired]
-
A.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
B.
statusInRepublicOfIreland
Indicates the legal or official status that an entity holds within the jurisdiction of the Republic of Ireland.
-
C.
statusInEnglishLaw
Indicates the legal standing, classification, or condition of something as defined within the framework of English law.
-
D.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
status
Indicates the current condition, state, or standing of an entity within a given context.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.