Triple
T14490218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimla Hills |
E359340
|
entity |
| Predicate | hasHillStation |
P24292
|
FINISHED |
| Object |
Narkanda
Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
|
E1105213
|
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: Narkanda | Statement: [Shimla Hills, hasHillStation, Narkanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narkanda Context triple: [Shimla Hills, hasHillStation, Narkanda]
-
A.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
B.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
-
C.
Nakodar
Nakodar is a prominent town in the Indian state of Punjab, known for its historical significance and cultural heritage within the Jalandhar region.
-
D.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
E.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
- 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: Narkanda Triple: [Shimla Hills, hasHillStation, Narkanda]
Generated description
Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narkanda Target entity description: Narkanda is a scenic hill station in Himachal Pradesh, India, known for its apple orchards, skiing slopes, and panoramic Himalayan views.
-
A.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
B.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
-
C.
Nakodar
Nakodar is a prominent town in the Indian state of Punjab, known for its historical significance and cultural heritage within the Jalandhar region.
-
D.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
E.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a404cfc819098a5d6359475a712 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7d64693c8190abed1fd546f91326 |
completed | May 8, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7e34ae188190a0dd5e05341c64c6 |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 10, 2026, 1:20 a.m.