Triple

T6617301
Position Surface form Disambiguated ID Type / Status
Subject Spanish North Africa E149583 entity
Predicate currentStatusOfMelilla P55090 FINISHED
Object Spanish autonomous city 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: Spanish autonomous city | Statement: [Spanish North Africa, currentStatusOfMelilla, Spanish autonomous city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentStatusOfMelilla
Context triple: [Spanish North Africa, currentStatusOfMelilla, Spanish autonomous city]
  • A. statusInSpain chosen
    Indicates the legal, social, or official condition or standing that an entity has within the jurisdiction of Spain.
  • B. statusInMali
    Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
  • C. statusInLibya
    Indicates the legal, social, or political condition or standing that an entity holds within the context of Libya.
  • D. statusInMexico
    Indicates the legal or social status that an entity holds within the context of Mexico.
  • E. statusInEgypt
    Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6bdb88cc881908f35648c15a7dc85 completed March 27, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69c6ad007c1c8190af425f51011c7ad1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:58 p.m.