Triple

T35158155
Position Surface form Disambiguated ID Type / Status
Subject Monte Berico hill E1015184 entity
Predicate hasMainChurchDedication P203780 FINISHED
Object Virgin Mary E698 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: Virgin Mary | Statement: [Monte Berico hill, hasMainChurchDedication, Virgin Mary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainChurchDedication
Context triple: [Monte Berico hill, hasMainChurchDedication, Virgin Mary]
  • A. hasParishChurchDedication
    Indicates that a parish church is dedicated to, or placed under the patronage of, a particular figure, saint, or sacred concept.
  • B. hasCoCathedralDedication
    Indicates that a co-cathedral is formally dedicated to or in honor of a particular figure, concept, or sacred subject.
  • C. hasChurchesDedicatedIn
    Indicates that a church or religious figure has churches that are formally dedicated to them in a specified place or region.
  • D. mainChurchBuilt
    Indicates that the primary church associated with an entity was constructed or established at a particular time or by a particular agent.
  • E. hasCathedralDedicatedTo
    Indicates that one entity possesses or contains a cathedral whose dedication (to a saint, figure, or concept) is specifically associated with another entity.
  • F. None of above. chosen

Provenance (5 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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a02008fcf1c8190b5b6c285944c52e9 completed May 11, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3819ca5cf8819097d26dc19fac8730 completed June 21, 2026, 5:05 p.m.
PD Predicate disambiguation batch_6a01ffd3ba008190b6f026bd4e6b9a37 completed May 11, 2026, 4:12 p.m.
PDg Predicate description generation batch_6a02008eb6ac81908f66e8e07e0726c6 completed May 11, 2026, 4:15 p.m.
Created at: May 3, 2026, 4:02 p.m.