Triple

T13520941
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz GLE E322892 entity
Predicate assemblyLocation P40 FINISHED
Object Pune, India E14838 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: Pune, India | Statement: [Mercedes-Benz GLE, assemblyLocation, Pune, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pune, India
Context triple: [Mercedes-Benz GLE, assemblyLocation, Pune, India]
  • A. Pune chosen
    Pune is a major cultural, educational, and IT hub in the western Indian state of Maharashtra, known for its universities, historical significance, and rapidly growing urban economy.
  • B. Nashik
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • C. Indiranagar
    Indiranagar is a prominent residential and commercial neighborhood in eastern Bengaluru, known for its upscale eateries, pubs, and shopping streets.
  • D. Pune IT corridor
    Pune IT corridor is a major technology and business hub in Pune, India, encompassing key IT parks and corporate campuses such as Hinjawadi IT Park.
  • E. Nagpur
    Nagpur is a major city in the Indian state of Maharashtra, known as a key political and commercial center and often referred to as the "Orange City" for its famous orange production.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942668f481909c6d892fdfd32c02 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:44 p.m.