Triple
T22096516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirksland |
E546047
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Herkingen |
—
|
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: Herkingen | Statement: [Dirksland, hasSettlement, Herkingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herkingen Context triple: [Dirksland, hasSettlement, Herkingen]
-
A.
Herkingen
chosen
Herkingen is a small Dutch village on the island of Goeree-Overflakkee in South Holland, known for its marina and water sports on the Grevelingenmeer.
-
B.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
C.
De Heurne
De Heurne is a small village in the Dutch province of Gelderland, located in the municipality of Aalten near the German border.
-
D.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
E.
Herpen
Herpen is a village in the Dutch province of North Brabant that forms part of the municipality of Oss.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.