Triple
T13388761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Zach |
E319514
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | EV Füssen |
E1037272
|
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: EV Füssen | Statement: [Hans Zach, memberOfSportsTeam, EV Füssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EV Füssen Context triple: [Hans Zach, memberOfSportsTeam, EV Füssen]
-
A.
EV Füssen
chosen
EV Füssen is a historic German ice hockey club based in Füssen, renowned as one of the country’s most successful and traditional teams.
-
B.
ESV Kaufbeuren
ESV Kaufbeuren is a professional ice hockey club based in Kaufbeuren, Germany, competing in the German league system and known for developing notable players such as Oleg Znarok.
-
C.
Rimac
Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
-
D.
Stuttgart-Zuffenhausen, Germany
Stuttgart-Zuffenhausen, Germany is an industrial district of Stuttgart best known as the longtime headquarters and main production site of the Porsche automobile company.
-
E.
Škoda Electric
Škoda Electric is a Czech manufacturer specializing in electric public transport vehicles and equipment, particularly trolleybuses and related traction systems.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306df34c81909f2ad5b753b7fb7f |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.