Triple
T7780806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jade Bight |
E221509
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Schillig
Schillig is a small coastal resort village in northern Germany known for its sandy North Sea beaches and proximity to the Wadden Sea mudflats.
|
E693244
|
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: Schillig | Statement: [Jade Bight, borderedBy, Schillig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schillig Context triple: [Jade Bight, borderedBy, Schillig]
-
A.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
B.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
E.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
- 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: Schillig Triple: [Jade Bight, borderedBy, Schillig]
Generated description
Schillig is a small coastal resort village in northern Germany known for its sandy North Sea beaches and proximity to the Wadden Sea mudflats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schillig Target entity description: Schillig is a small coastal resort village in northern Germany known for its sandy North Sea beaches and proximity to the Wadden Sea mudflats.
-
A.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
B.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
E.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d6cf9881909f5220437db13cc7 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5c1f20c81908ae2fc35550b91b5 |
completed | March 30, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69caf81d934881908fa41ebd43f3b2e2 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:20 p.m.