Triple
T6776227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunost Minsk |
E155160
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | HK Gomel |
E306328
|
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: HK Gomel | Statement: [Yunost Minsk, hasRival, HK Gomel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HK Gomel Context triple: [Yunost Minsk, hasRival, HK Gomel]
-
A.
HK Gomel
chosen
HK Gomel is a professional ice hockey club based in Gomel, Belarus, competing in the Belarusian Extraleague.
-
B.
Hong
Hong is a Chinese-origin surname shared by various notable individuals across different fields and regions.
-
C.
Gaomi
Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
-
D.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
E.
Dairen
Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24f77c88190be21cf4ef132aa31 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712cc9ff08190bb7ec0bf4cc4db01 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.