Triple
T15990465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy Mike |
E387808
|
entity |
| Predicate | massCharacteristic |
P70585
|
FINISHED |
| Object | very large cryogenic device |
—
|
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: very large cryogenic device | Statement: [Ivy Mike, massCharacteristic, very large cryogenic device]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massCharacteristic Context triple: [Ivy Mike, massCharacteristic, very large cryogenic device]
-
A.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
B.
massContribution
Indicates that an entity contributes some or all of its mass to another entity or system.
-
C.
massProperty
chosen
Indicates that one entity has a mass-related physical property or characteristic associated with it.
-
D.
densityCharacteristic
Indicates that one entity specifies or characterizes the density property or density-related attribute of another entity.
-
E.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.