Triple
T33776846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caquot balloon |
E865545
|
entity |
| Predicate | inflatedWith |
P177681
|
FINISHED |
| Object | hydrogen |
—
|
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: hydrogen | Statement: [Caquot balloon, inflatedWith, hydrogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflatedWith Context triple: [Caquot balloon, inflatedWith, hydrogen]
-
A.
inflationMethod
Indicates the method or process used to inflate something (such as a value, object, or parameter).
-
B.
hasInflation
Indicates that an economic system, currency, or market is experiencing a general increase in prices and a corresponding decrease in purchasing power over time.
-
C.
inflationType
Indicates the specific category or nature of inflation associated with an economic measure or context.
-
D.
increasesWith
Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
-
E.
inlaidWith
Indicates that one object has decorative material set into its surface, typically flush with it, using a contrasting substance or pattern.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:45 a.m.