Triple

T8063397
Position Surface form Disambiguated ID Type / Status
Subject Patenga Beach E188180 entity
Predicate locatedNear P294 FINISHED
Object Chittagong Port E635188 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: Chittagong Port | Statement: [Patenga Beach, locatedNear, Chittagong Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chittagong Port
Context triple: [Patenga Beach, locatedNear, Chittagong Port]
  • A. Chittagong Port chosen
    Chittagong Port is Bangladesh’s principal seaport and one of the busiest maritime hubs in South Asia, handling the majority of the country’s import and export trade.
  • B. Mongla Port
    Mongla Port is Bangladesh’s second-largest seaport, serving as a key maritime gateway in the country’s southwest region.
  • C. Mormugao Port
    Mormugao Port is a major natural harbor and one of India’s leading iron ore exporting ports, located in the state of Goa on the Arabian Sea.
  • D. DP World Sokhna
    DP World Sokhna is a major deep-sea port and logistics hub on Egypt’s Red Sea coast, developed and operated by DP World as a key gateway for regional and international trade.
  • E. Paradip Port
    Paradip Port is a major deep-water seaport on the east coast of India that serves as a key hub for maritime trade and cargo handling in the Bay of Bengal region.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fce95f08190b803956a20082e95 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63da3bd08190894b2f4c977167c0 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.