Triple

T3596446
Position Surface form Disambiguated ID Type / Status
Subject Kutch E76150 entity
Predicate contains P35 FINISHED
Object Mundra E73129 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: Mundra | Statement: [Kutch, contains, Mundra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mundra
Context triple: [Kutch, contains, Mundra]
  • A. Mandvi
    Mandvi is a historic coastal town in Gujarat, India, known for its shipbuilding heritage, beaches, and trading history within the Kutch region.
  • B. Vengurla
    Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
  • C. Kanchrapara
    Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
  • D. Mundra Port chosen
    Mundra Port is India’s largest commercial port and a major deep-draft, all-weather cargo hub located on the Arabian Sea coast in the state of Gujarat.
  • E. Nanakramguda
    Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43307cb548190824bb6704e339bff completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.