Triple
T15968911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Löhne |
E387268
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Ulenburg
Ulenburg is a district or locality within the town of Löhne in North Rhine-Westphalia, Germany.
|
E1231699
|
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: Ulenburg | Statement: [Löhne, subdivision, Ulenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulenburg Context triple: [Löhne, subdivision, Ulenburg]
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
C.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
D.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
E.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
- 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: Ulenburg Triple: [Löhne, subdivision, Ulenburg]
Generated description
Ulenburg is a district or locality within the town of Löhne in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulenburg Target entity description: Ulenburg is a district or locality within the town of Löhne in North Rhine-Westphalia, Germany.
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
C.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
D.
Kovrov
Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
-
E.
Kirov
Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
- 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_6a00a502c82881908d5b6f7c23e8a403 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5b3ce848190a73f06d9708bfc85 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 4:54 a.m.