Triple
T14951064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Vippachedelhausen
Vippachedelhausen is a small municipality in the Weimarer Land district of Thuringia in central Germany.
|
E1184788
|
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: Vippachedelhausen | Statement: [Weimarer Land, containsMunicipality, Vippachedelhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vippachedelhausen Context triple: [Weimarer Land, containsMunicipality, Vippachedelhausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
C.
Haimhausen
Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
-
D.
Rüdenhausen
Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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: Vippachedelhausen Triple: [Weimarer Land, containsMunicipality, Vippachedelhausen]
Generated description
Vippachedelhausen is a small municipality in the Weimarer Land district of Thuringia in central Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vippachedelhausen Target entity description: Vippachedelhausen is a small municipality in the Weimarer Land district of Thuringia in central Germany.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
C.
Haimhausen
Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
-
D.
Rüdenhausen
Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb792ebe88190a112a86a3b2dc6ea |
completed | May 9, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7dfbec08190939cdeaf46ea15ae |
completed | May 9, 2026, 10:40 p.m. |
Created at: April 10, 2026, 2:39 a.m.