Triple
T13121122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heckinghausen |
E311721
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Heckinghausen (German) |
E311721
|
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: Heckinghausen (German) | Statement: [Heckinghausen, hasNameInLanguage, Heckinghausen (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heckinghausen (German) Context triple: [Heckinghausen, hasNameInLanguage, Heckinghausen (German)]
-
A.
Heckinghausen
chosen
Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
-
B.
Alt-Lichtenberg (German)
Alt-Lichtenberg (German) is the German name for the Alt-Lichtenberg locality, a district-level area within the Berlin borough of Lichtenberg.
-
C.
Dahme (German)
Dahme (German) is a German-language name that typically refers to a town or river in Germany, most commonly associated with locations in the state of Brandenburg.
-
D.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
E.
Hettenshausen
Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e286de608190bf46af2eb656bb79 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.