Triple
T1389311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Frisian Islands |
E29917
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Memmert
Memmert is a small, uninhabited German North Sea island known primarily as a protected nature reserve and bird sanctuary.
|
E159876
|
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: Memmert | Statement: [East Frisian Islands, hasMember, Memmert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memmert Context triple: [East Frisian Islands, hasMember, Memmert]
-
A.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
B.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
C.
Schwartzerdt
Schwartzerdt is the original German surname of the 16th-century Protestant reformer and humanist Philip Melanchthon, which he later Hellenized into the name by which he is best known.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
- 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: Memmert Triple: [East Frisian Islands, hasMember, Memmert]
Generated description
Memmert is a small, uninhabited German North Sea island known primarily as a protected nature reserve and bird sanctuary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Memmert Target entity description: Memmert is a small, uninhabited German North Sea island known primarily as a protected nature reserve and bird sanctuary.
-
A.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
B.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
C.
Schwartzerdt
Schwartzerdt is the original German surname of the 16th-century Protestant reformer and humanist Philip Melanchthon, which he later Hellenized into the name by which he is best known.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35ce48c81909aaad7dfa2df63fa |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde24d1d88190bd6d602923270cd1 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acded052a88190945cf7a2af019c68 |
completed | March 8, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acdf41eb5c819088f2203f33995ccb |
completed | March 8, 2026, 2:30 a.m. |
Created at: March 1, 2026, 7:59 p.m.