Triple

T11925647
Position Surface form Disambiguated ID Type / Status
Subject Dadar E283774 entity
Predicate near P350 FINISHED
Object Prabhadevi
Prabhadevi is a coastal residential and commercial neighborhood in South Mumbai, India, known for its prominent Siddhivinayak Temple and proximity to Dadar and Worli.
E955386 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: Prabhadevi | Statement: [Dadar, near, Prabhadevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prabhadevi
Context triple: [Dadar, near, Prabhadevi]
  • A. Mukherjee Nagar
    Mukherjee Nagar is a prominent residential and commercial neighborhood in Delhi, India, best known as a major hub for civil services exam coaching centers and student accommodation.
  • B. Shastri Nagar
    Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
  • C. Indira Nagar
    Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
  • D. Budge Budge
    Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
  • E. Karol Bagh
    Karol Bagh is a prominent commercial and residential neighborhood in Delhi, India, known for its bustling markets, shopping streets, and traditional eateries.
  • 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: Prabhadevi
Triple: [Dadar, near, Prabhadevi]
Generated description
Prabhadevi is a coastal residential and commercial neighborhood in South Mumbai, India, known for its prominent Siddhivinayak Temple and proximity to Dadar and Worli.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prabhadevi
Target entity description: Prabhadevi is a coastal residential and commercial neighborhood in South Mumbai, India, known for its prominent Siddhivinayak Temple and proximity to Dadar and Worli.
  • A. Mukherjee Nagar
    Mukherjee Nagar is a prominent residential and commercial neighborhood in Delhi, India, best known as a major hub for civil services exam coaching centers and student accommodation.
  • B. Shastri Nagar
    Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
  • C. Indira Nagar
    Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
  • D. Budge Budge
    Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
  • E. Karol Bagh
    Karol Bagh is a prominent commercial and residential neighborhood in Delhi, India, known for its bustling markets, shopping streets, and traditional eateries.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e3ff308190851ce656286bc67e completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440525e9881909b21df139d97d986 completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.