Triple

T15810382
Position Surface form Disambiguated ID Type / Status
Subject Richard William Howard Vyse E383332 entity
Predicate placeOfActivity P1527 FINISHED
Object Giza E390 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: Giza | Statement: [Richard William Howard Vyse, placeOfActivity, Giza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giza
Context triple: [Richard William Howard Vyse, placeOfActivity, Giza]
  • A. Giza chosen
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • B. Abydos
    Abydos is an ancient Egyptian city renowned as a major religious center and burial site, closely associated with the cult of Osiris and other important deities.
  • C. Abydos
    Abydos was an ancient Greek city strategically located on the Asian shore of the Hellespont (Dardanelles), known for controlling a key crossing point between Europe and Asia.
  • D. Héliopolis
    Héliopolis is the main village on the French Mediterranean island of Île du Levant, known for its naturist community and seaside tourism.
  • E. Helwan
    Helwan is an industrial and residential city in southern Greater Cairo, Egypt, known for its factories, universities, and historic spa resorts along the Nile.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.