Triple
T19325704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heilbronn (district) |
E483340
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ittlingen
Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
|
E1394034
|
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: Ittlingen | Statement: [Heilbronn (district), contains, Ittlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ittlingen Context triple: [Heilbronn (district), contains, Ittlingen]
-
A.
Tuttlingen
Tuttlingen is a town in the state of Baden-Württemberg in southern Germany, known as a major center of the medical technology and surgical instrument industry.
-
B.
Lautern
Lautern is a historical German locality known as the former residence of Palatine Count John Casimir of Simmern.
-
C.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
D.
Waiblingen
Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
-
E.
Albstadt
Albstadt is a town in the Swabian Jura region of Baden-Württemberg, Germany, known for its textile industry, scenic hiking and cycling routes, and role as a regional economic center.
- 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: Ittlingen Triple: [Heilbronn (district), contains, Ittlingen]
Generated description
Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ittlingen Target entity description: Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
-
A.
Tuttlingen
Tuttlingen is a town in the state of Baden-Württemberg in southern Germany, known as a major center of the medical technology and surgical instrument industry.
-
B.
Lautern
Lautern is a historical German locality known as the former residence of Palatine Count John Casimir of Simmern.
-
C.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
D.
Waiblingen
Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
-
E.
Albstadt
Albstadt is a town in the Swabian Jura region of Baden-Württemberg, Germany, known for its textile industry, scenic hiking and cycling routes, and role as a regional economic center.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd4965b48190b360682c738a31ef |
completed | May 16, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_6a07be65daf88190a0ed2b6f8075141a |
completed | May 16, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bf1be9648190bac752e8a6ca12bc |
completed | May 16, 2026, 12:49 a.m. |
Created at: April 10, 2026, 1:33 p.m.