Triple
T11875881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churu district |
E282525
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Ratangarh
Ratangarh is a town in the Churu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
|
E976842
|
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: Ratangarh | Statement: [Churu district, hasTown, Ratangarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratangarh Context triple: [Churu district, hasTown, Ratangarh]
-
A.
Tikamgarh
Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in the state of Madhya Pradesh.
-
B.
Deogarh
Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
-
C.
Rajgarh
Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
-
D.
Rajgarh
Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
-
E.
Anupgarh
Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
- 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: Ratangarh Triple: [Churu district, hasTown, Ratangarh]
Generated description
Ratangarh is a town in the Churu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ratangarh Target entity description: Ratangarh is a town in the Churu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
-
A.
Tikamgarh
Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in the state of Madhya Pradesh.
-
B.
Deogarh
Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
-
C.
Rajgarh
Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
-
D.
Rajgarh
Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
-
E.
Anupgarh
Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1a22448190bd0722188c14d7bd |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a74cd8c8190a1b2aac622b11edc |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62be354a88190aaf5e8439b33120b |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62c8194d881909db3d320a21f2052 |
completed | May 2, 2026, 4:55 p.m. |
Created at: April 8, 2026, 9:44 p.m.