Triple
T16778365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamba district |
E407788
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Banikhet
Banikhet is a small hill town in the Indian state of Himachal Pradesh, known as a local commercial and transit hub near the popular hill station of Dalhousie.
|
E1233737
|
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: Banikhet | Statement: [Chamba district, hasMajorTown, Banikhet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banikhet Context triple: [Chamba district, hasMajorTown, Banikhet]
-
A.
Bhatarka
Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
-
B.
Sandhikharka
Sandhikharka is a town in western Nepal that serves as the administrative headquarters of Arghakhanchi District in Lumbini Province.
-
C.
Baria
Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
-
D.
Kamarhati
Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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: Banikhet Triple: [Chamba district, hasMajorTown, Banikhet]
Generated description
Banikhet is a small hill town in the Indian state of Himachal Pradesh, known as a local commercial and transit hub near the popular hill station of Dalhousie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banikhet Target entity description: Banikhet is a small hill town in the Indian state of Himachal Pradesh, known as a local commercial and transit hub near the popular hill station of Dalhousie.
-
A.
Bhatarka
Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
-
B.
Sandhikharka
Sandhikharka is a town in western Nepal that serves as the administrative headquarters of Arghakhanchi District in Lumbini Province.
-
C.
Baria
Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
-
D.
Kamarhati
Kamarhati is an industrial and residential city in the northern suburbs of Kolkata, West Bengal, India.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b212fc248190a8fe1124853bf16d |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab00cf708190a2562fa14d72a4df |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00ad66a9a88190983eee72f9d23e37 |
completed | May 10, 2026, 4:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00addf7674819084f5755c2dacc741 |
completed | May 10, 2026, 4:10 p.m. |
Created at: April 10, 2026, 5:22 a.m.