Triple
T16872320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orenburg Oblast |
E421200
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Orsk
Orsk is a major industrial city in southwestern Russia, located near the Ural Mountains in Orenburg Oblast.
|
E1292061
|
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: Orsk | Statement: [Orenburg Oblast, hasCity, Orsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orsk Context triple: [Orenburg Oblast, hasCity, Orsk]
-
A.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
B.
Omsk
Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
-
C.
Barnaul
Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
-
D.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
E.
Surgut
Surgut is a major oil-producing city in western Siberia, Russia, known as an important industrial and transportation hub in the Khanty-Mansi Autonomous Okrug.
- 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: Orsk Triple: [Orenburg Oblast, hasCity, Orsk]
Generated description
Orsk is a major industrial city in southwestern Russia, located near the Ural Mountains in Orenburg Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orsk Target entity description: Orsk is a major industrial city in southwestern Russia, located near the Ural Mountains in Orenburg Oblast.
-
A.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
B.
Omsk
Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
-
C.
Barnaul
Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
-
D.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
E.
Surgut
Surgut is a major oil-producing city in western Siberia, Russia, known as an important industrial and transportation hub in the Khanty-Mansi Autonomous Okrug.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f31b448190a21e3e4d1a0d2f73 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c48b4488190a197ccfd652695a9 |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030d22013c8190801475da925e0ab9 |
completed | May 12, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030dd233208190b7af976e68e4296c |
completed | May 12, 2026, 11:24 a.m. |
Created at: April 10, 2026, 5:29 a.m.