Triple

T27145794
Position Surface form Disambiguated ID Type / Status
Subject Montferrat E681937 entity
Predicate associatedWithCrusades P103797 FINISHED
Object yes 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: yes | Statement: [Montferrat, associatedWithCrusades, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCrusades
Context triple: [Montferrat, associatedWithCrusades, yes]
  • A. crusaderHistory chosen
    Indicates that an entity has a historical involvement, role, or association with the Crusades or crusading activities.
  • B. roleDuringCrusades
    Indicates the specific function, position, or involvement an entity had in relation to the Crusades during the period they occurred.
  • C. associatedEmperorDuringFirstCrusade
    Indicates a relationship where an entity is linked to the emperor who held authority or was prominently involved during the time of the First Crusade.
  • D. targetOfCrusade
    Indicates that an entity is the object or intended objective of a crusade or crusading campaign.
  • E. countryDuringCrusades
    Indicates that an entity functioned as or corresponded to a particular country during the historical period of the Crusades.
  • 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69ffbf84f4948190b41a7bba07ae61ec completed May 9, 2026, 11:13 p.m.
PD Predicate disambiguation batch_69ffbf0a59f88190870dbe25d8a63a00 completed May 9, 2026, 11:11 p.m.
Created at: April 27, 2026, 9:11 a.m.