Triple
T16799926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Ore Mountain mining region |
E408328
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Lauter
Lauter is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and metalworking.
|
E1233883
|
NE FINISHED |
How this triple was built (4 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: Lauter | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Lauter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauter Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Lauter]
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Lauter
Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
-
C.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
D.
Eichigt
Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
-
E.
Lagercrantzen
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lauter Triple: [Saxon Ore Mountain mining region, hasImportantTown, Lauter]
Generated description
Lauter is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and metalworking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauter Target entity description: Lauter is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and metalworking.
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Lauter
Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
-
C.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
D.
Eichigt
Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
-
E.
Lagercrantzen
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
- F. None of above. chosen
Provenance (5 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_69e3b2acd3548190a5f6ce7d1cf74117 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1299ac81908e9f1eebc3424bb9 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ac2ab65c819091d22cf52f16ef94 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac9a854881909624d52db76fbb57 |
completed | May 10, 2026, 4:04 p.m. |
Created at: April 10, 2026, 5:22 a.m.