Triple
T15968777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spenge |
E387265
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Warmbecke
Warmbecke is a small river in North Rhine-Westphalia, Germany, associated with the town of Spenge.
|
E1186046
|
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: Warmbecke | Statement: [Spenge, river, Warmbecke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warmbecke Context triple: [Spenge, river, Warmbecke]
-
A.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
B.
Wieck
Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
-
C.
Weiherhammer
Weiherhammer is a small municipality in the Upper Palatinate region of Bavaria, Germany, known for its rural character and local industry.
-
D.
Schelle
Schelle is a municipality in the Belgian province of Antwerp, situated along the Rupel River.
-
E.
Hetzel
Hetzel was a prominent 19th-century French publisher best known for publishing major literary works, including those of Victor Hugo and Jules Verne.
- 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: Warmbecke Triple: [Spenge, river, Warmbecke]
Generated description
Warmbecke is a small river in North Rhine-Westphalia, Germany, associated with the town of Spenge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warmbecke Target entity description: Warmbecke is a small river in North Rhine-Westphalia, Germany, associated with the town of Spenge.
-
A.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
B.
Wieck
Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
-
C.
Weiherhammer
Weiherhammer is a small municipality in the Upper Palatinate region of Bavaria, Germany, known for its rural character and local industry.
-
D.
Schelle
Schelle is a municipality in the Belgian province of Antwerp, situated along the Rupel River.
-
E.
Hetzel
Hetzel was a prominent 19th-century French publisher best known for publishing major literary works, including those of Victor Hugo and Jules Verne.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.