Triple
T17948648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsdelta |
E448769
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Garrelsweer |
—
|
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: Garrelsweer | Statement: [Eemsdelta, containsSettlement, Garrelsweer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garrelsweer Context triple: [Eemsdelta, containsSettlement, Garrelsweer]
-
A.
Garrelsweer
chosen
Garrelsweer is a small village in the province of Groningen in the Netherlands, situated within the municipality of Eemsdelta.
-
B.
Reimerswaal
Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
-
C.
Essingebron
Essingebron is a bridge in Stockholm, Sweden, that connects the island of Lilla Essingen with the surrounding road network.
-
D.
Seevetal
Seevetal is a large municipality in Lower Saxony, Germany, located just south of Hamburg and known for its suburban character and good transport connections.
-
E.
Gelmeroda
Gelmeroda is a small village near Weimar in Germany, best known for its church, which was repeatedly depicted in a series of paintings by the modernist artist Lyonel Feininger.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afaac780819097434b20b1f155d2 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.