Triple
T18152404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lypovets Uyezd |
E434536
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Lypovets
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
|
E1309767
|
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: Lypovets | Statement: [Lypovets Uyezd, administrativeCentre, Lypovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lypovets Context triple: [Lypovets Uyezd, administrativeCentre, Lypovets]
-
A.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
B.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
C.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
D.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
E.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
- 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: Lypovets Triple: [Lypovets Uyezd, administrativeCentre, Lypovets]
Generated description
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lypovets Target entity description: Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
-
A.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
B.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
C.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
D.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
E.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de39a8f481908d1752767d0aae0e |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fb93f8481908ea190ce4ec54455 |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03911462d0819080d6a59fe3b120a1 |
completed | May 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392a51df48190aab14218f28f129d |
completed | May 12, 2026, 8:50 p.m. |
Created at: April 10, 2026, 10:29 a.m.