Triple
T30517448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian military police |
E776603
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object |
Voennaya politsiya
Voennaya politsiya is the Russian Military Police, a law enforcement branch of the Russian Armed Forces responsible for maintaining discipline, security, and order within military units and installations.
|
E1920161
|
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: Voennaya politsiya | Statement: [Russian military police, usesAbbreviation, Voennaya politsiya]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Voennaya politsiya Triple: [Russian military police, usesAbbreviation, Voennaya politsiya]
Generated description
Voennaya politsiya is the Russian Military Police, a law enforcement branch of the Russian Armed Forces responsible for maintaining discipline, security, and order within military units and installations.
Provenance (5 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68806f4888190a09e1753397c13ba |
completed | May 2, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27be6fbe1c8190b442e3add776ddff |
completed | June 9, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_6a27c8dbfc2c81908f73369e5bad4aca |
completed | June 9, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27c96995e08190b27a0c8e400e6804 |
completed | June 9, 2026, 8:06 a.m. |
Created at: April 29, 2026, 8:16 p.m.