Triple
T21785083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heers |
E537814
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Klein-Gelmen
Klein-Gelmen is a small village in the municipality of Heers in the Belgian province of Limburg.
|
E1502630
|
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: Klein-Gelmen | Statement: [Heers, hasSubdivision, Klein-Gelmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klein-Gelmen Context triple: [Heers, hasSubdivision, Klein-Gelmen]
-
A.
Kornhauser-Duda
Kornhauser-Duda is the hyphenated surname of Agata Kornhauser-Duda, the Polish teacher and First Lady of Poland as the wife of President Andrzej Duda.
-
B.
Klugmann
Klugmann is a surname most notably associated with James Klugmann, a British historian and prominent member of the Communist Party of Great Britain.
-
C.
Groysman
Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
-
D.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
E.
Milgrom
Milgrom is a surname most prominently associated with Paul R. Milgrom, an American economist and Nobel laureate known for his work on auction theory and market design.
- 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: Klein-Gelmen Triple: [Heers, hasSubdivision, Klein-Gelmen]
Generated description
Klein-Gelmen is a small village in the municipality of Heers in the Belgian province of Limburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klein-Gelmen Target entity description: Klein-Gelmen is a small village in the municipality of Heers in the Belgian province of Limburg.
-
A.
Kornhauser-Duda
Kornhauser-Duda is the hyphenated surname of Agata Kornhauser-Duda, the Polish teacher and First Lady of Poland as the wife of President Andrzej Duda.
-
B.
Klugmann
Klugmann is a surname most notably associated with James Klugmann, a British historian and prominent member of the Communist Party of Great Britain.
-
C.
Groysman
Groysman is a Ukrainian surname most prominently associated with Volodymyr Groysman, a former Prime Minister of Ukraine.
-
D.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
E.
Milgrom
Milgrom is a surname most prominently associated with Paul R. Milgrom, an American economist and Nobel laureate known for his work on auction theory and market design.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e71399c8190b80ebe0870bbcda9 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f80ad2c8190bc9b8de10b37c826 |
completed | May 17, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a402328f88190aedece0522614d71 |
completed | May 17, 2026, 10:24 p.m. |
Created at: April 16, 2026, 6:52 p.m.