Triple
T21858599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haspengouw region |
E539697
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kortessem |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Haspengouw region, contains, Kortessem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kortessem Context triple: [Haspengouw region, contains, Kortessem]
-
A.
Kortessem
chosen
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
-
B.
Kaarsild
Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
-
C.
Korsmo
Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63944d88190b6bd5e6ba4cc8ec1 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.