Triple

T18763929
Position Surface form Disambiguated ID Type / Status
Subject HAL HJT-36 Sitara E458844 entity
Predicate name P16 FINISHED
Object Sitara
Sitara is an Indian subsonic intermediate jet trainer aircraft developed by Hindustan Aeronautics Limited (HAL) for training military pilots.
 E1374388 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: Sitara | Statement: [HAL HJT-36 Sitara, name, Sitara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sitara
Context triple: [HAL HJT-36 Sitara, name, Sitara]
  • A. Randhava
    Randhava is a Punjabi surname and clan name commonly found among Jat communities in northern India and Pakistan.
  • B. Visalakshi
    Visalakshi is a revered form of the Hindu goddess Parvati worshipped as the divine consort of Lord Shiva at the Kasi Viswanathar Temple in Kumbakonam.
  • C. Sharmishta
    Sharmishta is the full given name of Shami Chakrabarti, a prominent British barrister and human rights advocate.
  • D. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • E. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • 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: Sitara
Triple: [HAL HJT-36 Sitara, name, Sitara]
Generated description
Sitara is an Indian subsonic intermediate jet trainer aircraft developed by Hindustan Aeronautics Limited (HAL) for training military pilots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sitara
Target entity description: Sitara is an Indian subsonic intermediate jet trainer aircraft developed by Hindustan Aeronautics Limited (HAL) for training military pilots.
  • A. Randhava
    Randhava is a Punjabi surname and clan name commonly found among Jat communities in northern India and Pakistan.
  • B. Visalakshi
    Visalakshi is a revered form of the Hindu goddess Parvati worshipped as the divine consort of Lord Shiva at the Kasi Viswanathar Temple in Kumbakonam.
  • C. Sharmishta
    Sharmishta is the full given name of Shami Chakrabarti, a prominent British barrister and human rights advocate.
  • D. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • E. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d82297c81909f720e2637cec737 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a072b67a3248190b37c04539ecc13a3 completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072d8a5e108190916cd22496c048cb completed May 15, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a072e3709e881909d70f130a77fc428 completed May 15, 2026, 2:31 p.m.
Created at: April 10, 2026, 11:52 a.m.