Triple
T10760327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekelderdiep |
E253808
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Oude Pekela |
E253805
|
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: Oude Pekela | Statement: [Pekelderdiep, flowsThrough, Oude Pekela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oude Pekela Context triple: [Pekelderdiep, flowsThrough, Oude Pekela]
-
A.
Oude Pekela
chosen
Oude Pekela is a village in the province of Groningen in the northeastern Netherlands, known historically for its peat industry and canal-side settlement.
-
B.
Boven Pekela
Boven Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
-
C.
Schönhausen
Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
-
D.
Birkenwerder
Birkenwerder is a small municipality in the German state of Brandenburg, located just north of Berlin and known for its residential character and surrounding forests.
-
E.
Königs Wusterhausen
Königs Wusterhausen is a town in the German state of Brandenburg, located southeast of Berlin and integrated into the capital’s commuter belt.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a14c7481909c6f4f9b15dc130f |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0b5c9d8819088edb21a35d8b0dc |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:16 p.m.