Triple
T4958163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupnagar |
E111337
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Ropar
Ropar is the former name of Rupnagar, a historic town in the Indian state of Punjab known for its archaeological significance and location on the banks of the Sutlej River.
|
E483089
|
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: Ropar | Statement: [Rupnagar, formerName, Ropar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ropar Context triple: [Rupnagar, formerName, Ropar]
-
A.
Tarn Taran
Tarn Taran is a historic town in the Majha region of Punjab, India, known for its significant Sikh religious heritage and prominent gurdwaras.
-
B.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
-
C.
Duhshala
Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
-
D.
Payerne
Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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: Ropar Triple: [Rupnagar, formerName, Ropar]
Generated description
Ropar is the former name of Rupnagar, a historic town in the Indian state of Punjab known for its archaeological significance and location on the banks of the Sutlej River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ropar Target entity description: Ropar is the former name of Rupnagar, a historic town in the Indian state of Punjab known for its archaeological significance and location on the banks of the Sutlej River.
-
A.
Tarn Taran
Tarn Taran is a historic town in the Majha region of Punjab, India, known for its significant Sikh religious heritage and prominent gurdwaras.
-
B.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
-
C.
Duhshala
Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
-
D.
Payerne
Payerne is a historic town and municipality in the canton of Vaud, Switzerland, known for its medieval abbey and regional agricultural significance.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e144a08190b66bf07e09b6ff55 |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83b10e048190889289ac2ca9f07f |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be843e2e50819099b2b73498c7c16e |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:32 p.m.