Triple
T13216463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marwari language |
E314628
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Bikaneri |
E35816
|
NE FINISHED |
How this triple was built (2 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: Bikaneri | Statement: [Marwari language, hasDialect, Bikaneri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikaneri Context triple: [Marwari language, hasDialect, Bikaneri]
-
A.
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.
-
B.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
C.
Ratangarh
Ratangarh is a town in the Churu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani architecture.
-
D.
Bikaner
chosen
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
-
E.
Alwar
Alwar is a historic city in northern India known for its forts, palaces, and proximity to the Sariska Tiger Reserve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1ebf648190a27d11b3dc494446 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.