Triple
T15968325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borgloon |
E387254
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Jesseren
Jesseren is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
|
E1186020
|
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: Jesseren | Statement: [Borgloon, hasMunicipalSection, Jesseren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesseren Context triple: [Borgloon, hasMunicipalSection, Jesseren]
-
A.
Jeseri
Jeseri is a Dravidian language spoken primarily in the Lakshadweep islands of India, closely related to Malayalam and used by the local island communities.
-
B.
Jarsy
Jarsy is a small mountain village in southeastern France, located within the scenic and protected Massif des Bauges regional natural park.
-
C.
Jme
Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
-
D.
Jauer
Jauer is a variety of the Romansh language spoken in parts of the Engadine valley in Switzerland, closely related to the Puter dialect.
-
E.
Joure
Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
- 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: Jesseren Triple: [Borgloon, hasMunicipalSection, Jesseren]
Generated description
Jesseren is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jesseren Target entity description: Jesseren is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
-
A.
Jeseri
Jeseri is a Dravidian language spoken primarily in the Lakshadweep islands of India, closely related to Malayalam and used by the local island communities.
-
B.
Jarsy
Jarsy is a small mountain village in southeastern France, located within the scenic and protected Massif des Bauges regional natural park.
-
C.
Jme
Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
-
D.
Jauer
Jauer is a variety of the Romansh language spoken in parts of the Engadine valley in Switzerland, closely related to the Puter dialect.
-
E.
Joure
Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
- 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_69e157277e7881908d49f4874766b3b5 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.