Triple

T6903139
Position Surface form Disambiguated ID Type / Status
Subject Sant’Anna School of Advanced Studies E159541 entity
Predicate shortName P43 FINISHED
Object Sant’Anna E142616 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: Sant’Anna | Statement: [Sant’Anna School of Advanced Studies, shortName, Sant’Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant’Anna
Context triple: [Sant’Anna School of Advanced Studies, shortName, Sant’Anna]
  • A. Sant’Anna chosen
    Sant’Anna is an Italian surname and place name commonly associated with various churches, localities, and institutions in Italy and other countries with Italian heritage.
  • B. Sant'Agata
    Sant'Agata is the country estate near Busseto in northern Italy that served as the longtime home and working retreat of composer Giuseppe Verdi.
  • C. Sant’Antimo
    Sant’Antimo is a town in the Campania region of southern Italy, located near Naples.
  • D. Sant’Agnello
    Sant’Agnello is a coastal town on Italy’s Sorrento Peninsula known for its scenic cliffs, views over the Bay of Naples, and proximity to popular tourist destinations like Sorrento and the Amalfi Coast.
  • E. Sant’Erasmo
    Sant’Erasmo is a large, sparsely populated island in the Venetian Lagoon known for its agricultural fields and vegetable production, especially artichokes.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d988a5b48190a9238047e86f314c completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.