Triple
T25353934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrée balloon expedition 1897 |
E635768
|
entity |
| Predicate | balloonName |
P158230
|
FINISHED |
| Object |
The Eagle
The Eagle was the hydrogen balloon used by S. A. Andrée in his ill-fated 1897 Arctic expedition attempting to reach the North Pole by air.
|
E1676058
|
NE FINISHED |
How this triple was built (3 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: The Eagle | Statement: [Andrée balloon expedition 1897, balloonName, The Eagle]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Eagle Triple: [Andrée balloon expedition 1897, balloonName, The Eagle]
Generated description
The Eagle was the hydrogen balloon used by S. A. Andrée in his ill-fated 1897 Arctic expedition attempting to reach the North Pole by air.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balloonName Context triple: [Andrée balloon expedition 1897, balloonName, The Eagle]
-
A.
balloonName
chosen
Indicates that a balloon is identified or labeled by a specific name.
-
B.
balloonType
Indicates the specific kind or category of balloon associated with an entity.
-
C.
typicalNumberOfBalloons
Indicates the usual or expected quantity of balloons associated with something in a given context.
-
D.
balloonMaterial
Indicates that one entity is made of, or composed from, the material specified by the other entity.
-
E.
ballName
Indicates that an entity has a specific name assigned to a ball.
- F. None of above.
Provenance (6 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49dfedae88190a02f10196ef45ffa |
completed | May 1, 2026, 12:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075fd4c0081908b40904f881ea3b6 |
completed | May 22, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_6a1076b9b58881908eb0b619471c3879 |
completed | May 22, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1077d01fa08190b5439eba879538ef |
completed | May 22, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:34 p.m.