Triple

T6112290
Position Surface form Disambiguated ID Type / Status
Subject Sohag Governorate E136271 entity
Predicate hasSettlement P1068 FINISHED
Object Girga E563746 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: Girga | Statement: [Sohag Governorate, hasSettlement, Girga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girga
Context triple: [Sohag Governorate, hasSettlement, Girga]
  • A. Girga chosen
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • B. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • C. Gilga
    Gilga is a production company known for its work on the television series "Swarm."
  • D. Gimira
    Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbde2048190909aa3a8097bcf93 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13598c54c8190b3701de83005875c completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:13 p.m.