Triple
T33776963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Farman |
E865547
|
entity |
| Predicate | awardedPrizeFor |
P106705
|
FINISHED |
| Object | first 1 km closed-circuit flight in Europe |
—
|
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: first 1 km closed-circuit flight in Europe | Statement: [Henri Farman, awardedPrizeFor, first 1 km closed-circuit flight in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedPrizeFor Context triple: [Henri Farman, awardedPrizeFor, first 1 km closed-circuit flight in Europe]
-
A.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
B.
holderAwardedFor
chosen
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
C.
tookPrize
Indicates that one entity received or accepted a prize or award from another entity or event.
-
D.
isNamedPrizeOf
Indicates that one entity is the official name of a prize or award associated with another entity.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:45 a.m.