Triple
T16108945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegtal |
E390818
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Eitorf |
E915220
|
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: Eitorf | Statement: [Siegtal, hasSettlement, Eitorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eitorf Context triple: [Siegtal, hasSettlement, Eitorf]
-
A.
Eitorf
chosen
Eitorf is a municipality in western Germany situated along the River Sieg in the state of North Rhine-Westphalia.
-
B.
Andorf
Andorf is a market town in the Innviertel region of Upper Austria, known for its rural character and local agricultural economy.
-
C.
Espelkamp
Espelkamp is a small town in North Rhine-Westphalia, Germany, known for its post-war planned layout and light industrial economy.
-
D.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
E.
Nörtershausen
Nörtershausen is a small municipality in western Germany’s Rhineland-Palatinate region, situated in the Rhine-Mosel area.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba674788190a589104cf90f28d5 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.