Triple
T3450563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuid-Beveland |
E72782
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | ’s-Heer Arendskerke |
E322976
|
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: ’s-Heer Arendskerke | Statement: [Zuid-Beveland, hasSettlement, ’s-Heer Arendskerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’s-Heer Arendskerke Context triple: [Zuid-Beveland, hasSettlement, ’s-Heer Arendskerke]
-
A.
’s-Heer Arendskerke
chosen
’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
-
B.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
C.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
D.
Oldekerk
Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
-
E.
Haaksbergen
Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7324508190b07943cec3ecdb59 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e3ff314c8190b66f8b0a7ae3c039 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 8, 2026, 3:16 p.m.