Triple

T38652637
Position Surface form Disambiguated ID Type / Status
Subject Sadat City E939797 entity
Predicate regionServed P82 FINISHED
Object Nile Delta NE NERFINISHED

How this triple was built (1 step)

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: Nile Delta | Statement: [Sadat City, regionServed, Nile Delta]

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_69f76ede49648190a48bfe47032a05a3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9e0931c81908adccacf936f57bc completed May 7, 2026, 6:28 p.m.
Created at: May 3, 2026, 4:33 p.m.