Triple
T7320923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverdlovsk Oblast |
E168541
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Irbit
Irbit is a historic town in Russia’s Ural region, formerly known as a major trade and fair center.
|
E657607
|
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: Irbit | Statement: [Sverdlovsk Oblast, hasCity, Irbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irbit Context triple: [Sverdlovsk Oblast, hasCity, Irbit]
-
A.
Novalja
Novalja is a coastal town on the Croatian island of Pag, known as a popular summer tourist destination with nearby Zrće Beach famous for its nightlife and music festivals.
-
B.
Tatura
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
C.
Monfalcone
Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
-
D.
Lovran
Lovran is a historic coastal town on Croatia’s Adriatic Riviera, known for its Austro-Hungarian era villas, mild climate, and role as an early seaside resort.
-
E.
Avetrana
Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
- 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: Irbit Triple: [Sverdlovsk Oblast, hasCity, Irbit]
Generated description
Irbit is a historic town in Russia’s Ural region, formerly known as a major trade and fair center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irbit Target entity description: Irbit is a historic town in Russia’s Ural region, formerly known as a major trade and fair center.
-
A.
Novalja
Novalja is a coastal town on the Croatian island of Pag, known as a popular summer tourist destination with nearby Zrće Beach famous for its nightlife and music festivals.
-
B.
Tatura
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
C.
Monfalcone
Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
-
D.
Lovran
Lovran is a historic coastal town on Croatia’s Adriatic Riviera, known for its Austro-Hungarian era villas, mild climate, and role as an early seaside resort.
-
E.
Avetrana
Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1ba58481909cfb5030b85f385a |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef01ea8c819091cd4106039c121e |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef7f7b7c8190b3361cc01b2eefc0 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f380dbe48190933e1eeff109185d |
completed | March 28, 2026, 3:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.