Triple
T6871693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baspa River |
E158561
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Sangla
Sangla is a picturesque town in Himachal Pradesh’s Kinnaur district, known for its scenic Himalayan valley, apple orchards, and traditional Kinnauri culture.
|
E627529
|
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: Sangla | Statement: [Baspa River, passesNear, Sangla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangla Context triple: [Baspa River, passesNear, Sangla]
-
A.
Mangla
Mangla is a town in Pakistan best known for the nearby Mangla Dam, one of the largest earth-fill dams in the world, built on the Jhelum River.
-
B.
Nathpa
Nathpa is a small town in Himachal Pradesh, India, situated along the Sutlej River in the Kinnaur district.
-
C.
Banjara
Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
-
D.
Naraina
Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
-
E.
Kallar River
Kallar River is a minor river in Tamil Nadu, India, known primarily as a tributary contributing to the flow of the Cooum River near Chennai.
- 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: Sangla Triple: [Baspa River, passesNear, Sangla]
Generated description
Sangla is a picturesque town in Himachal Pradesh’s Kinnaur district, known for its scenic Himalayan valley, apple orchards, and traditional Kinnauri culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangla Target entity description: Sangla is a picturesque town in Himachal Pradesh’s Kinnaur district, known for its scenic Himalayan valley, apple orchards, and traditional Kinnauri culture.
-
A.
Mangla
Mangla is a town in Pakistan best known for the nearby Mangla Dam, one of the largest earth-fill dams in the world, built on the Jhelum River.
-
B.
Nathpa
Nathpa is a small town in Himachal Pradesh, India, situated along the Sutlej River in the Kinnaur district.
-
C.
Banjara
Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
-
D.
Naraina
Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
-
E.
Kallar River
Kallar River is a minor river in Tamil Nadu, India, known primarily as a tributary contributing to the flow of the Cooum River near Chennai.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ac04e08190aa8011c0ade9d509 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748c0689081908d37d1530ed0f6a0 |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c749741dd08190b268303a12c17b66 |
completed | March 28, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74a1935b88190a9bed6e73f730459 |
completed | March 28, 2026, 3:25 a.m. |
Created at: March 27, 2026, 2:22 p.m.