Triple

T22074200
Position Surface form Disambiguated ID Type / Status
Subject Wankhede Stadium E545482 entity
Predicate hasEnd P38695 FINISHED
Object Tata End
Tata End is one of the two named bowling ends at Mumbai’s Wankhede Stadium, used to distinguish directions of play in cricket matches.
 E1517243 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: Tata End | Statement: [Wankhede Stadium, hasEnd, Tata End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tata End
Context triple: [Wankhede Stadium, hasEnd, Tata End]
  • A. tata
    A tata is a priest and ritual specialist in the Afro-Cuban Palo Mayombe religious tradition, responsible for leading ceremonies and working with spiritual forces.
  • B. Tata
    Tata is the nickname of Gerardo "Tata" Martino, an Argentine football manager and former player known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
  • C. Tata
    Tata is a prominent Indian industrial and philanthropic family best known for founding and leading the multinational conglomerate Tata Group.
  • D. Tata
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • E. Tata
    Tata is a historic Hungarian town in Komárom-Esztergom County known for its lakes, castles, and natural surroundings.
  • 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: Tata End
Triple: [Wankhede Stadium, hasEnd, Tata End]
Generated description
Tata End is one of the two named bowling ends at Mumbai’s Wankhede Stadium, used to distinguish directions of play in cricket matches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tata End
Target entity description: Tata End is one of the two named bowling ends at Mumbai’s Wankhede Stadium, used to distinguish directions of play in cricket matches.
  • A. tata
    A tata is a priest and ritual specialist in the Afro-Cuban Palo Mayombe religious tradition, responsible for leading ceremonies and working with spiritual forces.
  • B. Tata
    Tata is the nickname of Gerardo "Tata" Martino, an Argentine football manager and former player known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
  • C. Tata
    Tata is a prominent Indian industrial and philanthropic family best known for founding and leading the multinational conglomerate Tata Group.
  • D. Tata
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • E. Tata
    Tata is a historic Hungarian town in Komárom-Esztergom County known for its lakes, castles, and natural surroundings.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1288affb081908b64742f7bf467fa completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b5af408190baa2d74900fc7444 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a819c890481908303786efeef595c completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a826075988190a7148ded16f779c0 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:28 p.m.