Triple
T19396319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulmarg |
E485195
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Khilanmarg
Khilanmarg is a scenic meadow near Gulmarg in Jammu and Kashmir, India, known for its panoramic Himalayan views and popular skiing and trekking opportunities.
|
E1375953
|
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: Khilanmarg | Statement: [Gulmarg, hasAttraction, Khilanmarg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khilanmarg Context triple: [Gulmarg, hasAttraction, Khilanmarg]
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Jhandi Dhar
Jhandi Dhar is a prominent mountain ridge in Uttarakhand, India, known as the highest point within Binsar Wildlife Sanctuary and a popular spot for panoramic Himalayan views.
-
C.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
D.
Benaulim
Benaulim is a tranquil coastal village in South Goa, India, known for its serene sandy beach, laid-back atmosphere, and fishing community.
-
E.
Lalmonirhat
Lalmonirhat is a northern Bangladeshi town that serves as the administrative center of Lalmonirhat District in the Rangpur region.
- 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: Khilanmarg Triple: [Gulmarg, hasAttraction, Khilanmarg]
Generated description
Khilanmarg is a scenic meadow near Gulmarg in Jammu and Kashmir, India, known for its panoramic Himalayan views and popular skiing and trekking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khilanmarg Target entity description: Khilanmarg is a scenic meadow near Gulmarg in Jammu and Kashmir, India, known for its panoramic Himalayan views and popular skiing and trekking opportunities.
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Jhandi Dhar
Jhandi Dhar is a prominent mountain ridge in Uttarakhand, India, known as the highest point within Binsar Wildlife Sanctuary and a popular spot for panoramic Himalayan views.
-
C.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
D.
Benaulim
Benaulim is a tranquil coastal village in South Goa, India, known for its serene sandy beach, laid-back atmosphere, and fishing community.
-
E.
Lalmonirhat
Lalmonirhat is a northern Bangladeshi town that serves as the administrative center of Lalmonirhat District in the Rangpur region.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733c7af248190846f72a13df5b741 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a07367765988190bc3ebe0f14450696 |
completed | May 15, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0736f33e2c8190b6e2d849e328fa03 |
completed | May 15, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:36 p.m.