Triple

T38660226
Position Surface form Disambiguated ID Type / Status
Subject Abbey of Grottaferrata E940009 entity
Predicate survivingItaloGreekMonastery P191655 FINISHED
Object one of the last in Italy LITERAL 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: one of the last in Italy | Statement: [Abbey of Grottaferrata, survivingItaloGreekMonastery, one of the last in Italy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivingItaloGreekMonastery
Context triple: [Abbey of Grottaferrata, survivingItaloGreekMonastery, one of the last in Italy]
  • A. onlySurvivingMinaretIn
    Indicates that a minaret is the sole remaining minaret located within a specified place or region.
  • B. έχειΜοναστήρια
    Indicates that something possesses or includes one or more monasteries.
  • C. monasteryBuiltInto
    Indicates that a monastery is physically constructed within, attached to, or integrated into a natural or man-made structure such as a cliff, cave, or building.
  • D. survivorsJourney
    Indicates the ongoing process or path a survivor takes as they cope with, adapt to, and move forward from a traumatic or life-threatening experience.
  • E. monastery
    Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
  • F. None of above. chosen

Provenance (4 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_69f76ede49648190a48bfe47032a05a3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fce545fec881909247a3af821d21ae completed May 7, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69fce12eaeec81908cf81346b2cef6e0 completed May 7, 2026, 6:59 p.m.
PDg Predicate description generation batch_69fce54532948190a5cfacfe18e09322 completed May 7, 2026, 7:17 p.m.
Created at: May 3, 2026, 4:33 p.m.