Triple
T5658860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Limburg |
E124685
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kortessem
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
|
E537815
|
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: Kortessem | Statement: [Flemish Limburg, hasMunicipality, Kortessem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kortessem Context triple: [Flemish Limburg, hasMunicipality, Kortessem]
-
A.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
B.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
C.
Slagsvold
Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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: Kortessem Triple: [Flemish Limburg, hasMunicipality, Kortessem]
Generated description
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kortessem Target entity description: Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
-
A.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
B.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
C.
Slagsvold
Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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.