Triple
T6908812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittmund district |
E159879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Esens
Esens is a small historic town in Lower Saxony, Germany, known for its coastal North Sea location and traditional East Frisian character.
|
E691373
|
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: Esens | Statement: [Wittmund district, contains, Esens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esens Context triple: [Wittmund district, contains, Esens]
-
A.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
B.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
C.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
D.
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
E.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
- 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: Esens Triple: [Wittmund district, contains, Esens]
Generated description
Esens is a small historic town in Lower Saxony, Germany, known for its coastal North Sea location and traditional East Frisian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esens Target entity description: Esens is a small historic town in Lower Saxony, Germany, known for its coastal North Sea location and traditional East Frisian character.
-
A.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
B.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
C.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
D.
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
E.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c97ca3d5e0819097e904184202b75f |
completed | March 29, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69c9811249bc8190ace23dd28bb8e38a |
completed | March 29, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c98196bdd0819097d886d961924f51 |
completed | March 29, 2026, 7:46 p.m. |
Created at: March 27, 2026, 2:25 p.m.