Triple
T19172514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filip Hronek |
E469358
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Mountfield HK |
—
|
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: Mountfield HK | Statement: [Filip Hronek, team, Mountfield HK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountfield HK Context triple: [Filip Hronek, team, Mountfield HK]
-
A.
Mountfield HK
chosen
Mountfield HK is a professional ice hockey club based in Hradec Králové, Czech Republic, competing in the country’s top-tier league.
-
B.
Mountfield a.s.
Mountfield a.s. is a Czech company best known as a major retailer of garden equipment, swimming pools, and outdoor leisure products.
-
C.
Haseltine
Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
-
D.
Tanby
Tanby is a small rural locality in Queensland, Australia, situated inland from the coastal community of Kinka Beach in the Capricorn Coast region.
-
E.
Haynrode
Haynrode is a small village in the German state of Thuringia.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16544948190bd10ca7804dd27a5 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 10, 2026, 12:06 p.m.