Triple
T16479879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarza (Wutach) |
E400285
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Schwarza
Schwarza is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwaters of the Wutach.
|
E1215153
|
NE FINISHED |
How this triple was built (4 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: Schwarza | Statement: [Schwarza (Wutach), hasName, Schwarza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarza Context triple: [Schwarza (Wutach), hasName, Schwarza]
-
A.
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
B.
Schwarz
Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
C.
Schwarz
Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
-
D.
Schwarze Naab
Schwarze Naab is a river in Bavaria, Germany, known as one of the main headstreams of the Naab and for flowing through the Upper Palatinate region.
-
E.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Schwarza Triple: [Schwarza (Wutach), hasName, Schwarza]
Generated description
Schwarza is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwaters of the Wutach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwarza Target entity description: Schwarza is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwaters of the Wutach.
-
A.
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
B.
Schwarz
Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
C.
Schwarz
Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
-
D.
Schwarze Naab
Schwarze Naab is a river in Bavaria, Germany, known as one of the main headstreams of the Naab and for flowing through the Upper Palatinate region.
-
E.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
- F. None of above. chosen
Provenance (5 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f60ea8881908f073a28c407a1f4 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00513b6fcc8190a548b30cb7b4b67f |
completed | May 10, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051def1d48190b40f55c40ab269d2 |
completed | May 10, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5:13 a.m.