Triple
T3553700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzgitter |
E75169
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Stary Oskol
Stary Oskol is a city in Belgorod Oblast, Russia, known for its significant iron ore mining and metallurgical industries.
|
E388743
|
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: Stary Oskol | Statement: [Salzgitter, hasTwinTown, Stary Oskol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stary Oskol Context triple: [Salzgitter, hasTwinTown, Stary Oskol]
-
A.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
B.
Torzhok
Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
-
C.
Kolomna
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
- 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: Stary Oskol Triple: [Salzgitter, hasTwinTown, Stary Oskol]
Generated description
Stary Oskol is a city in Belgorod Oblast, Russia, known for its significant iron ore mining and metallurgical industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stary Oskol Target entity description: Stary Oskol is a city in Belgorod Oblast, Russia, known for its significant iron ore mining and metallurgical industries.
-
A.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
B.
Torzhok
Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
-
C.
Kolomna
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05394888190b59fafda97b49beb |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f01c47d881908e9489db7bf47b11 |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f0d7b6308190a0c823640b857ea4 |
completed | March 14, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f174f30881908231bde0d85aefdc |
completed | March 14, 2026, 5:26 a.m. |
Created at: March 8, 2026, 3:20 p.m.