Triple
T19492466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Waldshut |
E487684
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Eggingen
Eggingen is a small municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, near the Swiss border.
|
E1377895
|
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: Eggingen | Statement: [district of Waldshut, containsMunicipality, Eggingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggingen Context triple: [district of Waldshut, containsMunicipality, Eggingen]
-
A.
Eggedal
Eggedal is a valley and rural area in Viken county, Norway, known for its traditional farming landscape, outdoor recreation, and cultural heritage.
-
B.
Eggesin
Eggesin is a small town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
C.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
D.
Egby
Egby is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural coastal setting.
-
E.
Egge
Egge was a former municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
- 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: Eggingen Triple: [district of Waldshut, containsMunicipality, Eggingen]
Generated description
Eggingen is a small municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eggingen Target entity description: Eggingen is a small municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
A.
Eggedal
Eggedal is a valley and rural area in Viken county, Norway, known for its traditional farming landscape, outdoor recreation, and cultural heritage.
-
B.
Eggesin
Eggesin is a small town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
-
C.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
D.
Egby
Egby is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural coastal setting.
-
E.
Egge
Egge was a former municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07405fbebc81909d939d528081b2c5 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07413800488190b15864c7ae43df12 |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741a5783081908e0434153351b4a3 |
completed | May 15, 2026, 3:54 p.m. |
Created at: April 10, 2026, 1:39 p.m.