Triple
T27233688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auguste Piccard high-altitude balloon gondolas |
E682220
|
entity |
| Predicate | firstFlightFrom |
P198646
|
FINISHED |
| Object | Augsburg, Germany |
—
|
NE NERFINISHED |
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: Augsburg, Germany | Statement: [Auguste Piccard high-altitude balloon gondolas, firstFlightFrom, Augsburg, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightFrom Context triple: [Auguste Piccard high-altitude balloon gondolas, firstFlightFrom, Augsburg, Germany]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
C.
firstFlownAt
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
-
D.
performedFirstFlightWith
Indicates that one entity carried out its inaugural or maiden flight in conjunction with, or using, another entity.
-
E.
firstFlightOnType
Indicates that an entity represents the first flight event conducted with a particular aircraft type or model.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_69fefa05757481908fa38f5c604afbbe |
completed | May 9, 2026, 9:10 a.m. |
Created at: April 27, 2026, 9:47 a.m.