Triple
T19325830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidenheimer SB football department |
E483347
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Heidenheimer SB |
—
|
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: Heidenheimer SB | Statement: [Heidenheimer SB football department, partOf, Heidenheimer SB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heidenheimer SB Context triple: [Heidenheimer SB football department, partOf, Heidenheimer SB]
-
A.
Heidenheimer SB
chosen
Heidenheimer SB was a German sports club from Heidenheim that served as the historical forerunner to the modern football club 1. FC Heidenheim.
-
B.
Hiedler
Hiedler is a German surname historically associated with the family lineage of Adolf Hitler.
-
C.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
-
D.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
E.
Sauer
Sauer is a river in western Europe that flows through Luxembourg, Belgium, and Germany as a tributary of the Moselle.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:33 p.m.