Triple
T4953287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidenheim (district) |
E111218
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Nattheim |
E138777
|
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: Nattheim | Statement: [Heidenheim (district), hasMunicipality, Nattheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nattheim Context triple: [Heidenheim (district), hasMunicipality, Nattheim]
-
A.
Nattheim
chosen
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
B.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Stutterheim
Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
-
E.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b82dd88190adfb08c3b3191fe0 |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81d773bc8190861be7ad83de6c2a |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.