Triple

T1918436
Position Surface form Disambiguated ID Type / Status
Subject Siege of Khartoum E40070 entity
Predicate defenderForce P15009 FINISHED
Object Egyptian garrison 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: Egyptian garrison | Statement: [Siege of Khartoum, defenderForce, Egyptian garrison]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defenderForce
Context triple: [Siege of Khartoum, defenderForce, Egyptian garrison]
  • A. defender
    Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
  • B. defenceHandledBy chosen
    Indicates that responsibility for managing or conducting a defence is assigned to or carried out by a particular agent or entity.
  • C. besiegingForce
    Indicates a military group that is surrounding and attacking a target location or force in an attempt to capture or subdue it.
  • D. commanderForDefender
    Indicates that an entity serves as the commanding officer or leader responsible for directing and overseeing a defending force or defender.
  • E. defends
    Indicates that one entity protects or supports another entity against attack, criticism, or harm.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb211eda88190865de7a0522a453d completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.