Triple

T7026360
Position Surface form Disambiguated ID Type / Status
Subject Naglaa Ali Mahmoud E162956 entity
Predicate opposesLabel P74534 FINISHED
Object first lady of Egypt 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: first lady of Egypt | Statement: [Naglaa Ali Mahmoud, opposesLabel, first lady of Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposesLabel
Context triple: [Naglaa Ali Mahmoud, opposesLabel, first lady of Egypt]
  • A. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • B. opposition
    Indicates a relationship in which one entity actively resists, disagrees with, or is positioned against another entity, idea, or action.
  • C. isOppositionCounterpartOf
    Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
  • D. opposedTitle
    Indicates that one entity holds a title, position, or role that is in opposition or rivalry to the title, position, or role held by another entity.
  • E. advocatesAgainst
    Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69c6e1b9a2488190aea351d96afa5a12 completed March 27, 2026, 7:59 p.m.
PDg Predicate description generation batch_69c6e456e89481908df42a1b4232a4a0 completed March 27, 2026, 8:11 p.m.
Created at: March 27, 2026, 2:35 p.m.