Triple
T8977736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muttenz |
E214435
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Krailling
Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
|
E773040
|
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: Krailling | Statement: [Muttenz, hasTwinTown, Krailling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krailling Context triple: [Muttenz, hasTwinTown, Krailling]
-
A.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
B.
Lustenau
Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
-
C.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
D.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
E.
Grödig
Grödig is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg near the Untersberg mountain.
- 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: Krailling Triple: [Muttenz, hasTwinTown, Krailling]
Generated description
Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krailling Target entity description: Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
-
A.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
B.
Lustenau
Lustenau is a large market town in the Austrian state of Vorarlberg, known for its location on the Rhine near the Swiss border and its strong textile industry heritage.
-
C.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
D.
Schärding
Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
-
E.
Grödig
Grödig is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg near the Untersberg mountain.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb8de5e081909cce650a0b299e85 |
completed | April 3, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69cfdcae0e5c81909c50a0b53c1cf7cc |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd6a2ba481908d66fed8f05a1297 |
completed | April 3, 2026, 3:31 p.m. |
Created at: March 30, 2026, 7:02 p.m.