Triple
T21785122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kortessem |
E537815
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Wintershoven
Wintershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
|
E1502640
|
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: Wintershoven | Statement: [Kortessem, hasMunicipalSection, Wintershoven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wintershoven Context triple: [Kortessem, hasMunicipalSection, Wintershoven]
-
A.
Winterhude
Winterhude is a well-to-do residential and commercial district in Hamburg, Germany, known for its canals, green spaces, and proximity to the Alster lakes.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
-
D.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
E.
Stevenshof
Stevenshof is a residential neighborhood in the Dutch city of Leiden, known for its modern housing and family-friendly environment.
- 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: Wintershoven Triple: [Kortessem, hasMunicipalSection, Wintershoven]
Generated description
Wintershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wintershoven Target entity description: Wintershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
-
A.
Winterhude
Winterhude is a well-to-do residential and commercial district in Hamburg, Germany, known for its canals, green spaces, and proximity to the Alster lakes.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
-
D.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
E.
Stevenshof
Stevenshof is a residential neighborhood in the Dutch city of Leiden, known for its modern housing and family-friendly environment.
- 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.