Triple
T13388759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Zach |
E319514
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object | EC Bad Tölz |
E10394
|
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 Tölz | Statement: [Hans Zach, coachedTeam, EC Bad Tölz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC Bad Tölz Context triple: [Hans Zach, coachedTeam, EC Bad Tölz]
-
A.
Bad Tölz-Wolfratshausen
Bad Tölz-Wolfratshausen is a rural district in Upper Bavaria, Germany, known for its picturesque Alpine foothills, spa towns, and traditional Bavarian culture.
-
B.
Bad Tölz
chosen
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
-
C.
ESC Wedemark
ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
-
D.
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.
-
E.
SG Blaubach-Diedelkopf
SG Blaubach-Diedelkopf is a small German football club best known as one of the early youth teams of legendary striker Miroslav Klose.
- 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.