Triple
T3078806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Queen Elizabeth |
E64203
|
entity |
| Predicate | skiJumpAngle |
P45742
|
FINISHED |
| Object | 13 degrees |
—
|
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: 13 degrees | Statement: [HMS Queen Elizabeth, skiJumpAngle, 13 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiJumpAngle Context triple: [HMS Queen Elizabeth, skiJumpAngle, 13 degrees]
-
A.
skiJumpingVenue
Indicates that one entity serves as the ski jumping venue or facility associated with another entity (such as an event, competition, or organization).
-
B.
freestyleSkiingVenue
Indicates a venue or location where freestyle skiing events or activities take place.
-
C.
alpineSkiingVenue
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
-
D.
skiVerticalDrop
Indicates the vertical distance in elevation from the top to the bottom of a ski run or ski area.
-
E.
freestyleSkiingGoldMedalist
Indicates that the subject has won a gold medal in a freestyle skiing event.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a86a848190a47ca127cc7e6326 |
completed | March 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:02 p.m.