Triple
T15287215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barshaini village |
E365431
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
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.
|
E1148922
|
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: Barsheni | Statement: [Barshaini village, knownAs, Barsheni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barsheni Context triple: [Barshaini village, knownAs, Barsheni]
-
A.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Belitsa
Belitsa is a small town in southwestern Bulgaria known for its proximity to the Rila Mountains and the Dancing Bears Park sanctuary.
-
E.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
- 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: Barsheni Triple: [Barshaini village, knownAs, Barsheni]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barsheni Target entity description: 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.
-
A.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Belitsa
Belitsa is a small town in southwestern Bulgaria known for its proximity to the Rila Mountains and the Dancing Bears Park sanctuary.
-
E.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef38868548190877cf25a38bb805a |
completed | May 9, 2026, 8:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef435b1208190bd839297a2f8d3f4 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:15 a.m.