Triple
T18400023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajmer district |
E449967
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Beawar
Beawar is a prominent commercial and industrial town in Rajasthan, India, known historically as a major trading center in the region.
|
E1328035
|
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: Beawar | Statement: [Ajmer district, containsTown, Beawar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beawar Context triple: [Ajmer district, containsTown, Beawar]
-
A.
Marwar
Marwar is a historic desert region in the western part of Rajasthan, India, known for its Rajput heritage, forts, and distinctive Marwari culture and language.
-
B.
Chittorgarh
Chittorgarh is a historic city in Rajasthan, India, renowned for its massive hilltop fort, tales of Rajput valor, and rich cultural traditions.
-
C.
Bikaner
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
-
D.
Sanganer
Sanganer is a suburban town near Jaipur in Rajasthan, India, known for its traditional hand block printing, handmade paper industry, and historic Jain temples.
-
E.
Chanderi
Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
- 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: Beawar Triple: [Ajmer district, containsTown, Beawar]
Generated description
Beawar is a prominent commercial and industrial town in Rajasthan, India, known historically as a major trading center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beawar Target entity description: Beawar is a prominent commercial and industrial town in Rajasthan, India, known historically as a major trading center in the region.
-
A.
Marwar
Marwar is a historic desert region in the western part of Rajasthan, India, known for its Rajput heritage, forts, and distinctive Marwari culture and language.
-
B.
Chittorgarh
Chittorgarh is a historic city in Rajasthan, India, renowned for its massive hilltop fort, tales of Rajput valor, and rich cultural traditions.
-
C.
Bikaner
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
-
D.
Sanganer
Sanganer is a suburban town near Jaipur in Rajasthan, India, known for its traditional hand block printing, handmade paper industry, and historic Jain temples.
-
E.
Chanderi
Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04712e55e881909888ee9cf8b56eab |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472718b648190aa15316b02cefe69 |
completed | May 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04735066e48190a376f1453b244bac |
completed | May 13, 2026, 12:49 p.m. |
Created at: April 10, 2026, 10:46 a.m.