Triple

T6241415
Position Surface form Disambiguated ID Type / Status
Subject Fulk III Nerra E139609 entity
Predicate numberOfPilgrimagesToJerusalem P69267 FINISHED
Object 3 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: 3 | Statement: [Fulk III Nerra, numberOfPilgrimagesToJerusalem, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfPilgrimagesToJerusalem
Context triple: [Fulk III Nerra, numberOfPilgrimagesToJerusalem, 3]
  • A. numberOfPilgrimagesToMecca
    Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
  • B. pilgrimageAssociatedWith
    Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
  • C. pilgrimageFrequency
    Indicates how often an entity undertakes or participates in a pilgrimage.
  • D. historicalPeriodOfPilgrimage
    Indicates the historical period during which a given pilgrimage took place or was practiced.
  • E. isPlaceOfPilgrimageFor
    Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0630797f88190a5571f6000ba2e3b completed March 22, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69c056037bf88190a0a3fe7429345d0b completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:23 p.m.