Triple

T34665538
Position Surface form Disambiguated ID Type / Status
Subject Portuguese expedition to Ethiopia (1541–1542) E890240 entity
Predicate hasReligionOfOpponents P28124 FINISHED
Object Islam E1333 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: Islam | Statement: [Portuguese expedition to Ethiopia (1541–1542), hasReligionOfOpponents, Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligionOfOpponents
Context triple: [Portuguese expedition to Ethiopia (1541–1542), hasReligionOfOpponents, Islam]
  • A. primaryOpponentsReligion chosen
    Indicates the religion or belief system followed by an entity’s main or primary opponent.
  • B. hasReligionOfBelligerents
    Indicates that the belligerent parties in a conflict are associated with a particular religion or religious affiliation.
  • C. otherRivalReligion
    Indicates that one entity follows or is associated with a religion that is a rival or competing faith to the religion associated with another entity.
  • D. opposedReligiousGroup
    Indicates that one group is in opposition or conflict with another specifically on religious grounds or beliefs.
  • E. religiousCounterpart
    Indicates that one entity serves as the religious equivalent or analogue of another entity within a different belief system or tradition.
  • F. None of above.

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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a374903aa648190b9beaf59b4562d53 completed June 21, 2026, 2:14 a.m.
PD Predicate disambiguation batch_6a0379fd7aac8190873077e63873aa72 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 2:04 a.m.