Triple
T17548603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudraprayag district |
E427392
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Guptkashi
Guptkashi is a Himalayan town in Uttarakhand, India, known as a significant religious stopover for pilgrims en route to the Kedarnath temple.
|
E1275720
|
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: Guptkashi | Statement: [Rudraprayag district, containsTown, Guptkashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guptkashi Context triple: [Rudraprayag district, containsTown, Guptkashi]
-
A.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
B.
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
C.
Sugauli
Sugauli is a town in the Indian state of Bihar historically known as the place where the 1816 Treaty of Sugauli between the British East India Company and Nepal was concluded.
-
D.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
E.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
- 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: Guptkashi Triple: [Rudraprayag district, containsTown, Guptkashi]
Generated description
Guptkashi is a Himalayan town in Uttarakhand, India, known as a significant religious stopover for pilgrims en route to the Kedarnath temple.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guptkashi Target entity description: Guptkashi is a Himalayan town in Uttarakhand, India, known as a significant religious stopover for pilgrims en route to the Kedarnath temple.
-
A.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
B.
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
C.
Sugauli
Sugauli is a town in the Indian state of Bihar historically known as the place where the 1816 Treaty of Sugauli between the British East India Company and Nepal was concluded.
-
D.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
E.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28f01588190b608e9e8c6c63635 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d39bf344819096a89179137e22ab |
completed | May 11, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d48da4b0819094d4e32847b97345 |
completed | May 11, 2026, 1:07 p.m. |
Created at: April 10, 2026, 5:49 a.m.