Triple

T4140764
Position Surface form Disambiguated ID Type / Status
Subject West Bengal coast E89265 entity
Predicate hasPort P35 FINISHED
Object Haldia Port E162690 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: Haldia Port | Statement: [West Bengal coast, hasPort, Haldia Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haldia Port
Context triple: [West Bengal coast, hasPort, Haldia Port]
  • A. Haldia Port chosen
    Haldia Port is a major riverine port and industrial hub on the Hooghly River in eastern India, serving as a key gateway for maritime trade in West Bengal.
  • B. Dekheila Port
    Dekheila Port is a major commercial seaport and container terminal complex located just west of Alexandria on Egypt’s Mediterranean coast.
  • C. Puerto de la Estaca
    Puerto de la Estaca is the main seaport of the island of El Hierro in Spain’s Canary Islands, serving as its primary maritime connection point.
  • D. Bata Port
    Bata Port is a major seaport in Bata, Equatorial Guinea, serving as an important hub for the country’s maritime trade and transportation.
  • E. Port of Valencia
    The Port of Valencia is one of the busiest and most important seaports in the Mediterranean, serving as a major hub for container shipping and maritime trade in Spain and Europe.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0249dd988190bf6826a744e7771f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ccdf348190a80305485bee354e completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.