Triple
T15647045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champawat |
E376205
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Tanakpur
Tanakpur is a small town in Uttarakhand, India, known as a gateway to the Kumaon region and a key transit point to the neighboring country of Nepal.
|
E1193245
|
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: Tanakpur | Statement: [Champawat, locatedNear, Tanakpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanakpur Context triple: [Champawat, locatedNear, Tanakpur]
-
A.
Narkanda
Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
-
B.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
C.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
-
D.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
-
E.
Laxmangarh
Laxmangarh is a town in the Alwar district of Rajasthan, India, known for its local markets and surrounding agricultural communities.
- 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: Tanakpur Triple: [Champawat, locatedNear, Tanakpur]
Generated description
Tanakpur is a small town in Uttarakhand, India, known as a gateway to the Kumaon region and a key transit point to the neighboring country of Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanakpur Target entity description: Tanakpur is a small town in Uttarakhand, India, known as a gateway to the Kumaon region and a key transit point to the neighboring country of Nepal.
-
A.
Narkanda
Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
-
B.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
C.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
-
D.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
-
E.
Laxmangarh
Laxmangarh is a town in the Alwar district of Rajasthan, India, known for its local markets and surrounding agricultural communities.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4670e8881908bc9f3879ba208ba |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe692328081908739b446ad4d46bb |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe79224bc8190803649e3536afae0 |
completed | May 10, 2026, 2:04 a.m. |
Created at: April 10, 2026, 4:15 a.m.