Triple
T16773064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buk |
E407649
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Buk-M2E |
E623534
|
NE 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: Buk-M2E | Statement: [Buk, hasVariant, Buk-M2E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buk-M2E Context triple: [Buk, hasVariant, Buk-M2E]
-
A.
Buk-M2E
chosen
The Buk-M2E is a Russian-made, medium-range, mobile surface-to-air missile system designed to engage a wide variety of aerial targets, including aircraft, helicopters, cruise missiles, and unmanned aerial vehicles in complex electronic warfare environments.
-
B.
Buk-M3
Buk-M3 is a modernized Russian medium-range, self-propelled surface-to-air missile system designed to engage a wide range of aerial targets with improved range, accuracy, and resistance to electronic countermeasures.
-
C.
Buk-M1
Buk-M1 is a self-propelled, medium-range surface-to-air missile system developed by the Soviet Union/Russia to engage aircraft, cruise missiles, and other aerial targets.
-
D.
BUK
BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
-
E.
BxM2
BxM2 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafa19888190bb7f96591f363867 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.