Triple
T16805155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubbergen |
E408461
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Persingen |
E408456
|
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: Persingen | Statement: [Ubbergen, containsSettlement, Persingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persingen Context triple: [Ubbergen, containsSettlement, Persingen]
-
A.
Persingen
chosen
Persingen is a small village in the Dutch province of Gelderland, often noted as one of the smallest villages in the Netherlands.
-
B.
Petershausen
Petershausen is a Bavarian municipality in southern Germany, located north of Munich and known for its rural character and good rail connections to the city.
-
C.
Schöppingen
Schöppingen is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and location near the Dutch border.
-
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.
Schönholz
Schönholz is a locality in Berlin, Germany, served by the city’s S-Bahn rapid transit network.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cb68508190a05749bad68f7b43 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.