Triple
T18682247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holzwickede |
E456761
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Hengsen
Hengsen is a village-level district of the municipality of Holzwickede in North Rhine-Westphalia, Germany.
|
E1337394
|
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: Hengsen | Statement: [Holzwickede, hasSubdivision, Hengsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hengsen Context triple: [Holzwickede, hasSubdivision, Hengsen]
-
A.
Hengchi
Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
-
B.
Heng
Heng is a small tidal island off the coast of the Isle of Strand, known for its rugged shoreline and natural coastal scenery.
-
C.
Weihan
Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
-
D.
Jianhua
Jianhua is a common Chinese given name shared by many individuals across different fields.
-
E.
Yongrong
Yongrong was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor and a member of the high Manchu nobility.
- 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: Hengsen Triple: [Holzwickede, hasSubdivision, Hengsen]
Generated description
Hengsen is a village-level district of the municipality of Holzwickede in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hengsen Target entity description: Hengsen is a village-level district of the municipality of Holzwickede in North Rhine-Westphalia, Germany.
-
A.
Hengchi
Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
-
B.
Heng
Heng is a small tidal island off the coast of the Isle of Strand, known for its rugged shoreline and natural coastal scenery.
-
C.
Weihan
Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
-
D.
Jianhua
Jianhua is a common Chinese given name shared by many individuals across different fields.
-
E.
Yongrong
Yongrong was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor and a member of the high Manchu nobility.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2906ec8190ad8db8e3ae6b2945 |
completed | April 19, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052358206c81908fd07af6b2911400 |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a05246d04408190995d7e34f6662011 |
completed | May 14, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0524eced608190a1b3468f6d0189c2 |
completed | May 14, 2026, 1:27 a.m. |
Created at: April 10, 2026, 11:49 a.m.