Triple
T13704225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemnes |
E328597
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Blaricum |
E459567
|
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: Blaricum | Statement: [Eemnes, borderedBy, Blaricum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaricum Context triple: [Eemnes, borderedBy, Blaricum]
-
A.
Blaricum
chosen
Blaricum is a small, affluent village in the Dutch province of North Holland, known for its historic farmhouses, green surroundings, and popularity as a residential area for the wealthy.
-
B.
Bredius
Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
-
C.
Volkmarsen
Volkmarsen is a small town in the Waldeck-Frankenberg district of northern Hesse, Germany, known for its historic town center and rural surroundings.
-
D.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
E.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79459192c81908132ad9813d69125 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.