Triple
T5285728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Aerostatic Corps |
E119613
|
entity |
| Predicate | usedGas |
P35806
|
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: [French Aerostatic Corps, usedGas, hydrogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedGas Context triple: [French Aerostatic Corps, usedGas, hydrogen]
-
A.
typeOfGasUsed
chosen
Indicates the specific kind of gas that is utilized in relation to an entity or process.
-
B.
gasSystem
Indicates a relationship where an entity functions as, is part of, or is associated with a gas-based system used for distribution, control, or processing of gases.
-
C.
gasReleased
Indicates that a gas is emitted or discharged from a source into its surrounding environment.
-
D.
roleInGas
Indicates that an entity has a specific functional or contextual role within a gas-related process, system, or environment.
-
E.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.