Triple

T4835532
Position Surface form Disambiguated ID Type / Status
Subject Southern Morocco E108048 entity
Predicate containsCity P294 FINISHED
Object Tata E102226 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: Tata | Statement: [Southern Morocco, containsCity, Tata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata
Context triple: [Southern Morocco, containsCity, Tata]
  • A. Tata chosen
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • B. Tata Motors
    Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
  • C. Usha
    Usha is a goddess in Hindu mythology, often associated with the dawn and revered as a radiant divine figure.
  • D. Naval Tata
    Naval Tata was an Indian industrialist and philanthropist who played a key role in the Tata Group’s growth and was the adoptive father of former Tata Sons chairman Ratan Tata.
  • E. Tata family
    The Tata family is a prominent Indian Parsi industrial and philanthropic dynasty that founded and leads the Tata Group, one of India’s largest and most influential business conglomerates.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dda71e08190a28215f91405a4e1 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:25 p.m.