Triple
T11377798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittorgarh Fort |
E269513
|
entity |
| Predicate | expandedBy |
P5633
|
FINISHED |
| Object | Rana Kumbha |
E307217
|
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: Rana Kumbha | Statement: [Chittorgarh Fort, expandedBy, Rana Kumbha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rana Kumbha Context triple: [Chittorgarh Fort, expandedBy, Rana Kumbha]
-
A.
Rana Kumbha
chosen
Rana Kumbha was a 15th-century Rajput ruler of Mewar renowned for his military prowess, architectural patronage, and significant expansion of the kingdom.
-
B.
Kalgidhar
Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
-
C.
Dasaratha
Dasaratha is the legendary king of Ayodhya in the Hindu epic Ramayana and the father of Lord Rama.
-
D.
Deulgaon Raja
Deulgaon Raja is a town in the Indian state of Maharashtra known for its historical temples and local cultural significance.
-
E.
Jaatishwar
Jaatishwar is a Bengali film that blends reincarnation, music, and history to explore identity across lifetimes.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55697b2388190929d7e0b15d809ba |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.