Triple
T24724611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartak Omsk |
E612409
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Soviet ice hockey system
The Soviet ice hockey system was a state-organized, centrally planned structure for developing and managing ice hockey across the USSR, renowned for producing dominant national teams and elite players through club networks, sports schools, and rigorous training programs.
|
E147838
|
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: Soviet ice hockey system | Statement: [Spartak Omsk, partOf, Soviet ice hockey system]
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: Soviet ice hockey system Triple: [Spartak Omsk, partOf, Soviet ice hockey system]
Generated description
The Soviet ice hockey system was a state-organized, centrally planned structure for developing and managing ice hockey across the USSR, renowned for producing dominant national teams and elite players through club networks, sports schools, and rigorous training programs.
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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f4101b46008190b2972be52802a669 |
completed | May 1, 2026, 2:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10101aa7148190a1977cd618bcdb5a |
completed | May 22, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a10136d2c448190918a7eeb751a2a84 |
completed | May 22, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10143c5c84819081dd4f953fa9841a |
completed | May 22, 2026, 8:30 a.m. |
Created at: April 18, 2026, 3:42 a.m.