Triple
T15838681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munster (Örtze) |
E384046
|
entity |
| Predicate | locatedInAdministrativeTerritory |
P40
|
FINISHED |
| Object | Heidekreis |
E164519
|
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: Heidekreis | Statement: [Munster (Örtze), locatedInAdministrativeTerritory, Heidekreis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heidekreis Context triple: [Munster (Örtze), locatedInAdministrativeTerritory, Heidekreis]
-
A.
Heidekreis
chosen
Heidekreis is a rural district in Lower Saxony, Germany, known for its heath landscapes, nature reserves, and historic sites.
-
B.
Harzheim
Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
-
C.
Parthenstein
Parthenstein is a small municipality in the German state of Saxony, located southeast of Leipzig within its wider metropolitan area.
-
D.
Kalchreuth
Kalchreuth is a small municipality in northern Bavaria, Germany, known for its rural character and proximity to the cities of Erlangen and Nuremberg.
-
E.
Hagen am Teutoburger Wald
Hagen am Teutoburger Wald is a small municipality in Lower Saxony, Germany, situated near the Teutoburg Forest and close to the city of Osnabrück.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13c931481908ed9fd10fddd867c |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.