Triple

T21001388
Position Surface form Disambiguated ID Type / Status
Subject UAE ports E517296 entity
Predicate notableOperator P179 FINISHED
Object DP World NE NERFINISHED

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: DP World | Statement: [UAE ports, notableOperator, DP World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DP World
Context triple: [UAE ports, notableOperator, DP World]
  • A. DP World chosen
    DP World is a Dubai-based global logistics and port operator that manages ports, economic zones, and supply chain services across numerous countries.
  • B. Hutchison Ports
    Hutchison Ports is a global port operator and logistics company that manages a network of container terminals and related facilities across multiple continents.
  • C. AD Ports Group
    AD Ports Group is a leading United Arab Emirates–based ports, logistics, and maritime services company that develops and operates key trade and industrial hubs across the region.
  • D. Gulftainer Group
    Gulftainer Group is a global, privately owned port management and logistics company headquartered in the United Arab Emirates, operating container terminals and logistics services across multiple countries.
  • E. Corporación Quiport
    Corporación Quiport is a private consortium responsible for managing and developing airport services and infrastructure in Quito, Ecuador.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc25c1f8819086bdbfd89d390f5f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.