Triple

T6089865
Position Surface form Disambiguated ID Type / Status
Subject Faras Cathedral E135734 entity
Predicate locatedIn P40 FINISHED
Object Faras E141545 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: Faras | Statement: [Faras Cathedral, locatedIn, Faras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faras
Context triple: [Faras Cathedral, locatedIn, Faras]
  • A. Faras chosen
    Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
  • B. Mehen
    Mehen is an ancient Egyptian protective serpent deity who coils around the sun god Ra to shield him from threats like the chaos serpent Apep.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Dender
    The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
  • E. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a862c88190912a913973c6b6fc completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358175608190b06bbbc72c6d92c2 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:12 p.m.