Triple
T21357666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammelburg |
E526677
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Pfaffenhausen
Pfaffenhausen is a small district or locality that forms part of the town of Hammelburg in the Bavarian region of Germany.
|
E1538816
|
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: Pfaffenhausen | Statement: [Hammelburg, hasSubdivision, Pfaffenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfaffenhausen Context triple: [Hammelburg, hasSubdivision, Pfaffenhausen]
-
A.
Pfaffenhausen
Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
-
B.
Pfeffenhausen
Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
C.
Eppertshausen
Eppertshausen is a small municipality in the German state of Hesse, located southeast of Frankfurt am Main.
-
D.
Ruppertshofen
Ruppertshofen is a small municipality in the German state of Baden-Württemberg, situated within the rural district of Ostalbkreis.
-
E.
Grafenhausen
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
- 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: Pfaffenhausen Triple: [Hammelburg, hasSubdivision, Pfaffenhausen]
Generated description
Pfaffenhausen is a small district or locality that forms part of the town of Hammelburg in the Bavarian region of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfaffenhausen Target entity description: Pfaffenhausen is a small district or locality that forms part of the town of Hammelburg in the Bavarian region of Germany.
-
A.
Pfaffenhausen
Pfaffenhausen is a small market town and municipality in the Unterallgäu district of Bavaria, Germany.
-
B.
Pfeffenhausen
Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
C.
Eppertshausen
Eppertshausen is a small municipality in the German state of Hesse, located southeast of Frankfurt am Main.
-
D.
Ruppertshofen
Ruppertshofen is a small municipality in the German state of Baden-Württemberg, situated within the rural district of Ostalbkreis.
-
E.
Grafenhausen
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b123d57b08190b6cbdd33574bccee |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b148bfce881908e394c41f069cd63 |
completed | May 18, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1514991c8190b1c26422aa7d68fd |
completed | May 18, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:07 p.m.