Triple
T22657302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Herentals |
—
|
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: Herentals | Statement: [De Kempen, hasSettlement, Herentals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herentals Context triple: [De Kempen, hasSettlement, Herentals]
-
A.
Herentals
chosen
Herentals is a historic city in the Belgian province of Antwerp, known for its medieval architecture and role as a regional commercial center.
-
B.
Knokke-Heist
Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
-
C.
Badhoevedorp
Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
-
D.
’s-Heerenbroek
’s-Heerenbroek is a small village in the Netherlands, known as the birthplace of mathematician Diederik Johannes Korteweg.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.