Triple

T3745108
Position Surface form Disambiguated ID Type / Status
Subject Parting of the Sea of Reeds E81191 entity
Predicate hasLocation P40 FINISHED
Object Sea of Reeds 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: Sea of Reeds | Statement: [Parting of the Sea of Reeds, hasLocation, Sea of Reeds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Reeds
Context triple: [Parting of the Sea of Reeds, hasLocation, Sea of Reeds]
  • A. Wadi El Natrun
    Wadi El Natrun is a historic desert depression in northern Egypt renowned as one of the earliest and most important centers of Christian monasticism, especially for the Coptic Orthodox tradition.
  • B. Eau de Nil
    Eau de Nil is a pale, greyish-green color traditionally associated with refined luxury and classic British design.
  • C. Khorab
    Khorab is a historic site in present-day Namibia known as the location where German colonial forces surrendered to South African troops during the South-West Africa Campaign of World War I.
  • D. 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.
  • E. Suez
    Suez is a French multinational utility company historically known for its major role in water and waste management services worldwide.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb58c9048190a055d1f4a7e6b699 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.