Triple
T13675335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhattisgarh Plains |
E327860
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Rajnandgaon
Rajnandgaon is a city in the Indian state of Chhattisgarh known as a regional commercial and cultural center.
|
E1081787
|
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: Rajnandgaon | Statement: [Chhattisgarh Plains, containsCity, Rajnandgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajnandgaon Context triple: [Chhattisgarh Plains, containsCity, Rajnandgaon]
-
A.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
B.
Kajalgaon
Kajalgaon is a town in the Indian state of Assam that serves as the administrative center of Chirang district.
-
C.
Gadarpur
Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai 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.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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: Rajnandgaon Triple: [Chhattisgarh Plains, containsCity, Rajnandgaon]
Generated description
Rajnandgaon is a city in the Indian state of Chhattisgarh known as a regional commercial and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rajnandgaon Target entity description: Rajnandgaon is a city in the Indian state of Chhattisgarh known as a regional commercial and cultural center.
-
A.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
B.
Kajalgaon
Kajalgaon is a town in the Indian state of Assam that serves as the administrative center of Chirang district.
-
C.
Gadarpur
Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai 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.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeed4548819082038c5b88ccd212 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fcdfd372e0819089f0b48f84a63ab4 |
completed | May 7, 2026, 6:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce027c628819085738433b5d5525d |
completed | May 7, 2026, 6:55 p.m. |
Created at: April 9, 2026, 9:53 p.m.