Triple

T11060714
Position Surface form Disambiguated ID Type / Status
Subject Amma Sarah E261499 entity
Predicate associatedWith P37 FINISHED
Object Scetis E237651 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: Scetis | Statement: [Amma Sarah, associatedWith, Scetis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scetis
Context triple: [Amma Sarah, associatedWith, Scetis]
  • A. Scetis chosen
    Scetis is an early Christian monastic center in the Nitrian Desert of Egypt, renowned as one of the birthplaces of Christian desert monasticism.
  • B. Moor
    Moor is the nickname of Moraes Zogoiby, the physically afflicted yet sharp-witted narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh."
  • C. Moor
    A Moor is a historical term used in Europe to refer primarily to Muslim inhabitants of North Africa and, by extension, people of North African or mixed Arab-Berber descent who lived in or influenced parts of the Iberian Peninsula and the Mediterranean.
  • D. Bernicia
    Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
  • E. Cartennae
    Cartennae was an important ancient coastal city in the Roman province of Mauretania Caesariensis in North Africa.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c887d2148190b19c91b6eb548494 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.