Triple
T19391584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostalbkreis |
E485080
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Tannhausen
Tannhausen is a small municipality in the Ostalbkreis district of the German state of Baden-Württemberg.
|
E1381381
|
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: Tannhausen | Statement: [Ostalbkreis, containsMunicipality, Tannhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tannhausen Context triple: [Ostalbkreis, containsMunicipality, Tannhausen]
-
A.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
B.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
E.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
- 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: Tannhausen Triple: [Ostalbkreis, containsMunicipality, Tannhausen]
Generated description
Tannhausen is a small municipality in the Ostalbkreis district of the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tannhausen Target entity description: Tannhausen is a small municipality in the Ostalbkreis district of the German state of Baden-Württemberg.
-
A.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
B.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
E.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e6768bc8190beb1591350353056 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f8a2a908190925acc2d7c73090d |
completed | May 15, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fed47bc8190b1a78dcc50345ca4 |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:36 p.m.