Triple
T9605285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fehmarn |
E231953
|
entity |
| Predicate | hasHarbour |
P3007
|
FINISHED |
| Object |
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
|
E810790
|
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: Burgstaaken | Statement: [Fehmarn, hasHarbour, Burgstaaken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgstaaken Context triple: [Fehmarn, hasHarbour, Burgstaaken]
-
A.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
B.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
C.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
D.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
E.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
- 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: Burgstaaken Triple: [Fehmarn, hasHarbour, Burgstaaken]
Generated description
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgstaaken Target entity description: Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
-
A.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
B.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
C.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
D.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
E.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17939ed4c8190addfb052b762d454 |
completed | April 4, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_69d17a732628819098e50a6ecf47b98c |
completed | April 4, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17b16d8008190aa9bc71d470be4e5 |
completed | April 4, 2026, 8:56 p.m. |
Created at: March 30, 2026, 8:08 p.m.