Triple
T5658857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Limburg |
E124685
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Gingelom
Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
|
E537813
|
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: Gingelom | Statement: [Flemish Limburg, hasMunicipality, Gingelom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gingelom Context triple: [Flemish Limburg, hasMunicipality, Gingelom]
-
A.
Gingins
Gingins is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and Lake Geneva.
-
B.
Gamelia
Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
-
C.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
-
D.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
-
E.
Zegelsem
Zegelsem is a village in the Flemish Ardennes region of East Flanders, Belgium, known for its rural character and cobblestone cycling roads.
- 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: Gingelom Triple: [Flemish Limburg, hasMunicipality, Gingelom]
Generated description
Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gingelom Target entity description: Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
-
A.
Gingins
Gingins is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and Lake Geneva.
-
B.
Gamelia
Gamelia is an epithet associated with the Greek goddess Hera, emphasizing her role as protector of marriage and weddings.
-
C.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
-
D.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
-
E.
Zegelsem
Zegelsem is a village in the Flemish Ardennes region of East Flanders, Belgium, known for its rural character and cobblestone cycling roads.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022fd9b148190bd4aa9c43500949f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da37ffc819095f33e7e66e7c1d0 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edf30448190a60eda49b8b031a0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb62690819083327781cb857ccc |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.