Triple
T1266702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tempe, Arizona |
E15615
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Regensburg, Germany |
E127596
|
NE FINISHED |
How this triple was built (2 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: Regensburg, Germany | Statement: [Tempe, Arizona, hasSisterCity, Regensburg, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regensburg, Germany Context triple: [Tempe, Arizona, hasSisterCity, Regensburg, Germany]
-
A.
Regensburg
chosen
Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
-
B.
Würzburg, Germany
Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
-
C.
Flensburg, Germany
Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
-
D.
Nördlingen, Germany
Nördlingen is a historic Bavarian town in southern Germany, notable for its well-preserved medieval walls and its location within a large ancient meteorite crater.
-
E.
Deggendorf, Germany
Deggendorf, Germany is a Bavarian town on the Danube River known as a regional commercial and industrial center with strong ties to manufacturing and technology companies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c037f14c8190baa42f70f8846583 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f6d9288190ad64dc1bc9e9f8c1 |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 1, 2026, 7:50 p.m.