Triple

T1418378
Position Surface form Disambiguated ID Type / Status
Subject Chittagong E31967 entity
Predicate hasPort P35 FINISHED
Object Port of Chittagong E31967 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: Port of Chittagong | Statement: [Chittagong, hasPort, Port of Chittagong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Chittagong
Context triple: [Chittagong, hasPort, Port of Chittagong]
  • A. Chittagong chosen
    Chittagong is a major coastal city and Bangladesh’s principal seaport, known for its bustling maritime trade and industrial significance.
  • B. 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.
  • C. Mayabunder port
    Mayabunder port is a coastal harbor and transport hub on Middle Andaman Island in India’s Andaman and Nicobar archipelago, serving regional passenger and cargo traffic.
  • D. Khulna
    Khulna is a major industrial and port city in southwestern Bangladesh, situated on the Rupsha and Bhairab rivers and serving as a key gateway to the Sundarbans mangrove forest.
  • E. Port Qasim
    Port Qasim is Pakistan’s second-busiest deep-sea commercial port and a major industrial and shipping hub located near Karachi on the Arabian Sea.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b09c948190a5ec17021299049e completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.