Triple
T15016136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W88 thermonuclear warhead |
E377963
|
entity |
| Predicate | relativeSizeComparedToW76 |
P8238
|
FINISHED |
| Object | more compact reentry body |
—
|
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: more compact reentry body | Statement: [W88 thermonuclear warhead, relativeSizeComparedToW76, more compact reentry body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeComparedToW76 Context triple: [W88 thermonuclear warhead, relativeSizeComparedToW76, more compact reentry body]
-
A.
scaleComparison
Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
-
B.
relativeSizeOnTethys
Indicates how the size of one entity compares to another specifically in the context of Tethys.
-
C.
relativeSizeInJapan
Indicates how the size of one entity compares to another specifically within the context of Japan.
-
D.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
E.
hasRelativeSize
chosen
Indicates that one entity’s size is being compared to another entity’s size, expressing a relative rather than absolute magnitude.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7633fcc8190b2231f43252bc46f |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.