Triple
T17894433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UR-100NUTTKh |
E447396
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | UR-100N |
—
|
NE NERFINISHED |
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: UR-100N | Statement: [UR-100NUTTKh, predecessor, UR-100N]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UR-100N Context triple: [UR-100NUTTKh, predecessor, UR-100N]
-
A.
UR-100NUTTKh
chosen
The UR-100NUTTKh is a Soviet-designed intercontinental ballistic missile (ICBM) deployed in Russian strategic nuclear forces.
-
B.
MR-UR-100
MR-UR-100 was a Soviet intercontinental ballistic missile (ICBM) system developed during the Cold War as part of the USSR’s strategic nuclear forces.
-
C.
HR-10
HR-10 is the regional vehicle registration code assigned to motor vehicles registered in the Sonipat district of Haryana, India.
-
D.
Ibaraki Robots
Ibaraki Robots is a professional Japanese basketball team based in Ibaraki Prefecture that competes in the B.League.
-
E.
ND-100
ND-100 is a 16-bit minicomputer series developed by Norwegian company Norsk Data, widely used in the 1970s and 1980s for technical and scientific computing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7ccf808190b4c1fd477043bcc8 |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.