Triple
T20729614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renchen |
E509534
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Ulm (district of Renchen) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ulm (district of Renchen) | Statement: [Renchen, hasSubdivision, Ulm (district of Renchen)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulm (district of Renchen) Context triple: [Renchen, hasSubdivision, Ulm (district of Renchen)]
-
A.
Neu-Ulm district
Neu-Ulm district is an administrative district (Landkreis) in the Bavarian region of Swabia in southern Germany, known for encompassing the town of Neu-Ulm and surrounding communities along the Danube River.
-
B.
Ulm postal region
The Ulm postal region is a German mail distribution area centered around the city of Ulm, covering Ulm and surrounding towns in Baden-Württemberg for postal routing and addressing.
-
C.
Tirschenreuth (district)
Tirschenreuth is a rural district in northeastern Bavaria, Germany, known for its lakes, forests, and proximity to the Czech border.
-
D.
Ravensburg district
Ravensburg district is an administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its historic towns, rural landscapes, and proximity to Lake Constance and the Alps.
-
E.
Neu-Ulm
Neu-Ulm is a Bavarian town in southern Germany located across the Danube River from the city of Ulm, forming a closely linked urban area with it.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulm (district of Renchen) Target entity description: Ulm (district of Renchen) is a locality within the town of Renchen in the Ortenau district of Baden-Württemberg, Germany.
-
A.
Neu-Ulm district
Neu-Ulm district is an administrative district (Landkreis) in the Bavarian region of Swabia in southern Germany, known for encompassing the town of Neu-Ulm and surrounding communities along the Danube River.
-
B.
Ulm postal region
The Ulm postal region is a German mail distribution area centered around the city of Ulm, covering Ulm and surrounding towns in Baden-Württemberg for postal routing and addressing.
-
C.
Tirschenreuth (district)
Tirschenreuth is a rural district in northeastern Bavaria, Germany, known for its lakes, forests, and proximity to the Czech border.
-
D.
Ravensburg district
Ravensburg district is an administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its historic towns, rural landscapes, and proximity to Lake Constance and the Alps.
-
E.
Neu-Ulm
Neu-Ulm is a Bavarian town in southern Germany located across the Danube River from the city of Ulm, forming a closely linked urban area with it.
- F. None of above. chosen
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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.