Triple
T22657295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lommel |
E185115
|
NE FINISHED |
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: Lommel | Statement: [De Kempen, hasSettlement, Lommel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lommel Context triple: [De Kempen, hasSettlement, Lommel]
-
A.
Lommel
chosen
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
-
B.
Mellin
Mellin is a surname most notably associated with Finnish mathematician Hjalmar Mellin, known for the Mellin transform in mathematical analysis.
-
C.
Hjølmo
Hjølmo is a small rural area in the municipality of Eidfjord in Vestland county, Norway, known for its scenic fjord and mountain surroundings.
-
D.
Mogensen
Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
-
E.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b586cd2b8819095ff984b9c14c1ec |
completed | May 18, 2026, 6:20 p.m. |
Created at: April 17, 2026, 3:06 p.m.