Triple
T2930609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumaon |
E78950
|
entity |
| Predicate | hasHillStation |
P24292
|
FINISHED |
| Object |
Kausani
Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
|
E316743
|
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: Kausani | Statement: [Kumaon, hasHillStation, Kausani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kausani Context triple: [Kumaon, hasHillStation, Kausani]
-
A.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
C.
Chanhudaro
Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Sehore
Sehore is a town and district headquarters in central India, located near the state capital Bhopal in Madhya Pradesh.
- 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: Kausani Triple: [Kumaon, hasHillStation, Kausani]
Generated description
Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kausani Target entity description: Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
-
A.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
C.
Chanhudaro
Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Sehore
Sehore is a town and district headquarters in central India, located near the state capital Bhopal in Madhya Pradesh.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980191388190ac2455a7d9867be3 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108d249608190b386450c2ccab609 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10ce809d48190810236535c3316ad |
completed | March 11, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10d22bbd48190b9878b4b0421c004 |
completed | March 11, 2026, 6:35 a.m. |
Created at: March 8, 2026, 2:55 p.m.