Triple
T7115051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borovets resort |
E165796
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
|
E647560
|
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: Chamkoria | Statement: [Borovets resort, formerName, Chamkoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamkoria Context triple: [Borovets resort, formerName, Chamkoria]
-
A.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
B.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
C.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
-
D.
Kumhrar
Kumhrar is an archaeological site in Patna, India, known for the excavated remains of ancient Pataliputra, the capital of the Mauryan Empire.
-
E.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
- 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: Chamkoria Triple: [Borovets resort, formerName, Chamkoria]
Generated description
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chamkoria Target entity description: Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
A.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
B.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
C.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
-
D.
Kumhrar
Kumhrar is an archaeological site in Patna, India, known for the excavated remains of ancient Pataliputra, the capital of the Mauryan Empire.
-
E.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f0dab8819092103aefcaa1f9c2 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8d92fec8190bd275023bdef8e08 |
completed | March 28, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69c7b9c1afe48190bc55468790e84067 |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba441f8c8190a4f88b140a1563f9 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:43 p.m.