Triple

T15680898
Position Surface form Disambiguated ID Type / Status
Subject Saint Helen E377571 entity
Predicate notablePilgrimage P16196 FINISHED
Object journey to Jerusalem 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: journey to Jerusalem | Statement: [Saint Helen, notablePilgrimage, journey to Jerusalem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablePilgrimage
Context triple: [Saint Helen, notablePilgrimage, journey to Jerusalem]
  • A. pilgrimageAssociatedWith chosen
    Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
  • B. notableDestination
    Indicates that a location is recognized as a significant or prominent place that people commonly travel to or aim to visit.
  • C. isPilgrimageDestination
    Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
  • D. pilgrimageRouteTo
    Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
  • E. pilgrimagePractice
    Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
  • F. None of above.

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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:16 a.m.