Triple

T14572112
Position Surface form Disambiguated ID Type / Status
Subject Krayot E341941 entity
Predicate hasPublicTransportOperator P14525 FINISHED
Object Egged E1069820 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: Egged | Statement: [Krayot, hasPublicTransportOperator, Egged]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egged
Context triple: [Krayot, hasPublicTransportOperator, Egged]
  • A. Egged chosen
    Egged is Israel's largest public bus company, operating extensive intercity and urban routes across the country.
  • B. Egg
    Egg is a Swiss municipality in the canton of Zurich, known for its rural character and proximity to the city of Zurich.
  • C. Egg
    Egg is the young Targaryen prince Aegon V, who travels incognito as the squire of hedge knight Ser Duncan the Tall in George R.R. Martin’s Dunk and Egg stories.
  • D. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • E. The Egg
    The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aca591081908db149ec517a999b completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.