Triple
T8663495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Reutlingen |
E205604
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pfullingen
Pfullingen is a small town in the state of Baden-Württemberg in southwestern Germany, situated near the Swabian Jura and close to the city of Reutlingen.
|
E780001
|
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: Pfullingen | Statement: [Landkreis Reutlingen, contains, Pfullingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfullingen Context triple: [Landkreis Reutlingen, contains, Pfullingen]
-
A.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
B.
Feuchtwangen
Feuchtwangen is a historic town in Bavaria, Germany, known for its medieval architecture and location along the Romantic Road.
-
C.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
D.
Miesbach
Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
-
E.
Poppenhausen
Poppenhausen is a small German town located in the Schweinfurt administrative region of northern Bavaria.
- 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: Pfullingen Triple: [Landkreis Reutlingen, contains, Pfullingen]
Generated description
Pfullingen is a small town in the state of Baden-Württemberg in southwestern Germany, situated near the Swabian Jura and close to the city of Reutlingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfullingen Target entity description: Pfullingen is a small town in the state of Baden-Württemberg in southwestern Germany, situated near the Swabian Jura and close to the city of Reutlingen.
-
A.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
B.
Feuchtwangen
Feuchtwangen is a historic town in Bavaria, Germany, known for its medieval architecture and location along the Romantic Road.
-
C.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
D.
Miesbach
Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
-
E.
Poppenhausen
Poppenhausen is a small German town located in the Schweinfurt administrative region of northern Bavaria.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0470dd24c8190851f71104c9fdf0f |
completed | April 3, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69d0489f19808190b793dac8c0f743bc |
completed | April 3, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0496ccb908190b9ebe632df1447be |
completed | April 3, 2026, 11:12 p.m. |
Created at: March 30, 2026, 6:30 p.m.