Triple
T21035878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewin Kłodzki |
E518187
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Hummelstadt
Hummelstadt is the former German name of the town now known as Lewin Kłodzki in southwestern Poland’s Kłodzko region.
|
E1470606
|
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: Hummelstadt | Statement: [Lewin Kłodzki, formerName, Hummelstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hummelstadt Context triple: [Lewin Kłodzki, formerName, Hummelstadt]
-
A.
Hammelburg
Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Mimmenhausen
Mimmenhausen is a village in the Bodenseekreis district of Baden-Württemberg, Germany, now incorporated into the municipality of Salem.
-
D.
Hettstedt
Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
-
E.
Hummelsbüttel
Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
- 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: Hummelstadt Triple: [Lewin Kłodzki, formerName, Hummelstadt]
Generated description
Hummelstadt is the former German name of the town now known as Lewin Kłodzki in southwestern Poland’s Kłodzko region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hummelstadt Target entity description: Hummelstadt is the former German name of the town now known as Lewin Kłodzki in southwestern Poland’s Kłodzko region.
-
A.
Hammelburg
Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Mimmenhausen
Mimmenhausen is a village in the Bodenseekreis district of Baden-Württemberg, Germany, now incorporated into the municipality of Salem.
-
D.
Hettstedt
Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
-
E.
Hummelsbüttel
Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09755f6e7c8190862dd2f0629751ff |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a0976043e788190b88530d5a27e3486 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09775da35081909628417a2859655d |
completed | May 17, 2026, 8:07 a.m. |
Created at: April 16, 2026, 2:02 p.m.