Triple
T13156328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beemster |
E312598
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | De Beemster |
E312598
|
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: De Beemster | Statement: [Beemster, alsoKnownAs, De Beemster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Beemster Context triple: [Beemster, alsoKnownAs, De Beemster]
-
A.
Beemster
chosen
Beemster is a historic Dutch polder and UNESCO World Heritage Site in North Holland, renowned for its meticulously planned reclaimed landscape and geometric layout.
-
B.
’s-Gravenpolder
’s-Gravenpolder is a village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
C.
Kniephof
Kniephof was a rural Prussian estate village, historically notable as the family property of Otto von Bismarck’s mother, Wilhelmine Mencken.
-
D.
Waddinxveen
Waddinxveen is a town and municipality in the western Netherlands known for its location along the Gouwe River and its role in regional industry and logistics.
-
E.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5df07ec8190be64ed80d7e220b7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.