Triple

T1980533
Position Surface form Disambiguated ID Type / Status
Subject Annabella E43014 entity
Predicate notableWork P4 FINISHED
Object Suez E51534 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: Suez | Statement: [Annabella, notableWork, Suez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suez
Context triple: [Annabella, notableWork, Suez]
  • A. Suez chosen
    Suez is an Egyptian port city on the northern end of the Gulf of Suez, serving as a key gateway between the Red Sea and the Mediterranean via the Suez Canal.
  • B. Suez
    Suez is a French multinational utility company historically known for its major role in water and waste management services worldwide.
  • C. Suez Canal
    The Suez Canal is a man-made waterway in Egypt that links the Mediterranean Sea to the Red Sea, serving as one of the world’s most important shipping routes between Europe and Asia.
  • D. Isthmus of Suez
    The Isthmus of Suez is the narrow land bridge between Africa and Asia in Egypt that serves as a crucial junction for global trade and navigation.
  • E. Cairo–Suez line
    The Cairo–Suez line is a major Egyptian railway route linking the capital Cairo with the strategic port city of Suez on the Red 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032bc30c8190a136a634580571d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:37 p.m.