Triple
T38217519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westland Lynx |
E1010724
|
entity |
| Predicate | maxSpeedRecord |
P58444
|
FINISHED |
| Object | 400.87 km/h |
—
|
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: 400.87 km/h | Statement: [Westland Lynx, maxSpeedRecord, 400.87 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxSpeedRecord Context triple: [Westland Lynx, maxSpeedRecord, 400.87 km/h]
-
A.
maximumSpeedRecord
chosen
Indicates that an entity holds the highest recorded speed value (a speed record) within a given context or category.
-
B.
topSpeedRecordYear
Indicates the year in which an entity achieved its highest recorded top speed.
-
C.
worldSpeedRecordContext
Indicates the contextual circumstances (such as event, conditions, or category) under which a world speed record is set or recognized.
-
D.
peacetimeSpeedRecord
Indicates the maximum speed achieved under non-combat, peacetime conditions, recognized as a record.
-
E.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.