Triple
T26004058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico 1–0 Germany at 2018 FIFA World Cup group stage |
E646708
|
entity |
| Predicate | teamCoachGermany |
P151150
|
FINISHED |
| Object | Joachim Löw |
—
|
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: Joachim Löw | Statement: [Mexico 1–0 Germany at 2018 FIFA World Cup group stage, teamCoachGermany, Joachim Löw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCoachGermany Context triple: [Mexico 1–0 Germany at 2018 FIFA World Cup group stage, teamCoachGermany, Joachim Löw]
-
A.
coachOfGermany
chosen
Indicates that one entity serves as the coach of the German national team in a particular sport or context.
-
B.
captainOfGermany
Indicates that a person serves as the captain (team leader) of the Germany national team in a given context.
-
C.
eintrachtFrankfurtCoach
Indicates that one entity serves as the head coach/manager of the Eintracht Frankfurt football team.
-
D.
BorussiaDortmundCoach
Indicates that a person holds or has held the position of head coach/manager of the football club Borussia Dortmund.
-
E.
BayernMunichCoach
Indicates that one entity serves as the head coach/manager of the Bayern Munich football team.
- F. None of above.
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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 9 a.m.