Triple
T16561009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraichgau |
E402336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Östringen
Östringen is a small town in southwestern Germany’s Baden-Württemberg region, situated within the hilly, wine-producing landscape of the Kraichgau.
|
E1220138
|
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: Östringen | Statement: [Kraichgau, contains, Östringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Östringen Context triple: [Kraichgau, contains, Östringen]
-
A.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
B.
Lindesberg
Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Strängnäs
Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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: Östringen Triple: [Kraichgau, contains, Östringen]
Generated description
Östringen is a small town in southwestern Germany’s Baden-Württemberg region, situated within the hilly, wine-producing landscape of the Kraichgau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Östringen Target entity description: Östringen is a small town in southwestern Germany’s Baden-Württemberg region, situated within the hilly, wine-producing landscape of the Kraichgau.
-
A.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
B.
Lindesberg
Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Strängnäs
Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067be809c81909c93eb1253fbf8e5 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a006a4c343481909bf56cad83f3ed81 |
completed | May 10, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006afcbdb88190b34bfe6f4cc0fd40 |
completed | May 10, 2026, 11:24 a.m. |
Created at: April 10, 2026, 5:15 a.m.