Triple
T13388756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Zach |
E319514
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object | EC Bad Nauheim |
E398483
|
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: EC Bad Nauheim | Statement: [Hans Zach, coachedTeam, EC Bad Nauheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC Bad Nauheim Context triple: [Hans Zach, coachedTeam, EC Bad Nauheim]
-
A.
ESC Wedemark
ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
-
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.
Frankfurt U2
Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
-
D.
Neusser EV
Neusser EV is an ice hockey club based in Neuss, Germany, competing in the lower tiers of the German ice hockey league system.
-
E.
Bad Nauheim
chosen
Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
- 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_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.