Triple
T2202115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Able |
E50512
|
entity |
| Predicate | testNumberInUSProgram |
P36947
|
FINISHED |
| Object | one of the earliest US postwar nuclear tests |
—
|
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: one of the earliest US postwar nuclear tests | Statement: [Able, testNumberInUSProgram, one of the earliest US postwar nuclear tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testNumberInUSProgram Context triple: [Able, testNumberInUSProgram, one of the earliest US postwar nuclear tests]
-
A.
nationalProgram
Indicates that an entity is part of, associated with, or designated as a program organized or administered at the national level.
-
B.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
C.
regionNumber
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
-
D.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
E.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa1b41c8190b0f7467d0dcdfbcd |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf35c994819088a093c412931de4 |
completed | March 7, 2026, 6:01 a.m. |
Created at: March 4, 2026, 7:46 p.m.