Triple
T38028338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Peregrine |
E948839
|
entity |
| Predicate | productionStatusDuringWWII |
P199720
|
FINISHED |
| Object | limited production |
—
|
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: limited production | Statement: [Rolls-Royce Peregrine, productionStatusDuringWWII, limited production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionStatusDuringWWII Context triple: [Rolls-Royce Peregrine, productionStatusDuringWWII, limited production]
-
A.
statusDuringWorldWarII
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
B.
frontDuringWWII
Indicates that an entity served as a military front or active combat theater during World War II.
-
C.
operatorDuringWorldWarII
Indicates that an entity operated or was active in its role during the period of World War II.
-
D.
warProduction
Indicates that an entity is involved in the production of goods, resources, or services specifically intended to support war or military activities.
-
E.
legalStatusDuringWWI
Indicates the legal condition or classification an entity held specifically during World War I (e.g., enemy alien, neutral, ally, civilian, combatant).
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69ff519a67008190b1eda931fdeff53e |
completed | May 9, 2026, 3:24 p.m. |
Created at: May 3, 2026, 4:20 p.m.