Triple
T19396066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Havilland DH.88 Comet |
E485190
|
entity |
| Predicate | raceWinningTime_hours |
P136297
|
FINISHED |
| Object | 70.5 |
—
|
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: 70.5 | Statement: [de Havilland DH.88 Comet, raceWinningTime_hours, 70.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceWinningTime_hours Context triple: [de Havilland DH.88 Comet, raceWinningTime_hours, 70.5]
-
A.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
B.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
E.
raceRecordThirds
Indicates that an entity holds or is associated with the third-place record in a particular race or racing 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4875ac8190a9c184c075b5db16 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.