Triple
T11875861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shekhawati people |
E282524
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object |
Nawalgarh
Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
|
E975397
|
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: Nawalgarh | Statement: [Shekhawati people, associatedWithPlace, Nawalgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawalgarh Context triple: [Shekhawati people, associatedWithPlace, Nawalgarh]
-
A.
Naraingarh
Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
-
B.
Kishangarh
Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
-
C.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
D.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
-
E.
Laxmangarh
Laxmangarh is a town in the Alwar district of Rajasthan, India, known for its local markets and surrounding agricultural communities.
- 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: Nawalgarh Triple: [Shekhawati people, associatedWithPlace, Nawalgarh]
Generated description
Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nawalgarh Target entity description: Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
-
A.
Naraingarh
Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
-
B.
Kishangarh
Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
-
C.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
D.
Laxmangarh
Laxmangarh is a town in the Sikar district of Rajasthan, India, known for its historic fort, havelis, and traditional Rajasthani architecture.
-
E.
Laxmangarh
Laxmangarh is a town in the Alwar district of Rajasthan, India, known for its local markets and surrounding agricultural communities.
- 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_69f61e3532b881909673e856b6c54a2c |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62009766c8190985fafe9ba53ae7b |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:44 p.m.