Triple
T2930569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumaon |
E78950
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Almora
Almora is a picturesque hill town and cultural hub in the Kumaon region of Uttarakhand, India, known for its Himalayan views and rich Kumaoni heritage.
|
E316741
|
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: Almora | Statement: [Kumaon, contains, Almora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almora Context triple: [Kumaon, contains, Almora]
-
A.
Deoghar
Deoghar is a prominent religious and cultural city in eastern India, renowned for the Baidyanath Jyotirlinga temple and its significance as a major Hindu pilgrimage center.
-
B.
Manali
Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
-
C.
Nainital
Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
-
D.
Kullu
Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
-
E.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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: Almora Triple: [Kumaon, contains, Almora]
Generated description
Almora is a picturesque hill town and cultural hub in the Kumaon region of Uttarakhand, India, known for its Himalayan views and rich Kumaoni heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almora Target entity description: Almora is a picturesque hill town and cultural hub in the Kumaon region of Uttarakhand, India, known for its Himalayan views and rich Kumaoni heritage.
-
A.
Deoghar
Deoghar is a prominent religious and cultural city in eastern India, renowned for the Baidyanath Jyotirlinga temple and its significance as a major Hindu pilgrimage center.
-
B.
Manali
Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
-
C.
Nainital
Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
-
D.
Kullu
Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
-
E.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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.