Triple
T6348413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL Dhruv |
E142803
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
HAL Rudra
HAL Rudra is an Indian multi-role attack helicopter developed by Hindustan Aeronautics Limited as an armed variant of the Dhruv utility helicopter, equipped for close air support and anti-armor missions.
|
E587174
|
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: HAL Rudra | Statement: [HAL Dhruv, hasVariant, HAL Rudra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAL Rudra Context triple: [HAL Dhruv, hasVariant, HAL Rudra]
-
A.
Adhiratha
Adhiratha is a charioteer in the Mahabharata who finds and raises the abandoned infant Karna as his own son.
-
B.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
-
C.
Vikram
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
-
D.
Vikram
Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
-
E.
Aryaman
Aryaman is a Vedic Hindu deity associated with friendship, hospitality, and social bonds, often linked with the Adityas and solar aspects.
- 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: HAL Rudra Triple: [HAL Dhruv, hasVariant, HAL Rudra]
Generated description
HAL Rudra is an Indian multi-role attack helicopter developed by Hindustan Aeronautics Limited as an armed variant of the Dhruv utility helicopter, equipped for close air support and anti-armor missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAL Rudra Target entity description: HAL Rudra is an Indian multi-role attack helicopter developed by Hindustan Aeronautics Limited as an armed variant of the Dhruv utility helicopter, equipped for close air support and anti-armor missions.
-
A.
Adhiratha
Adhiratha is a charioteer in the Mahabharata who finds and raises the abandoned infant Karna as his own son.
-
B.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
-
C.
Vikram
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
-
D.
Vikram
Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
-
E.
Aryaman
Aryaman is a Vedic Hindu deity associated with friendship, hospitality, and social bonds, often linked with the Adityas and solar aspects.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044b33fc8190a214c6615d072715 |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c6057466ec8190afe96107862bb40a |
completed | March 27, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6060a113881909b424d0c47c2107e |
completed | March 27, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:31 p.m.