Triple

T5354723
Position Surface form Disambiguated ID Type / Status
Subject Al-Idrisi E102662 entity
Predicate birthPlace P1 FINISHED
Object Ceuta E27777 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: Ceuta | Statement: [Al-Idrisi, birthPlace, Ceuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceuta
Context triple: [Al-Idrisi, birthPlace, Ceuta]
  • A. Ceuta chosen
    Ceuta is a small Spanish autonomous city on the north coast of Africa, bordering Morocco and strategically located at the Strait of Gibraltar.
  • B. Melilla
    Melilla is a Spanish autonomous city located on the north coast of Africa, bordering Morocco and serving as a key enclave between Europe and Africa.
  • C. Algeciras
    Algeciras is a major port city in southern Spain, strategically located near the Strait of Gibraltar and serving as a key hub for maritime trade between Europe and Africa.
  • D. Algeciras
    Algeciras is a municipality in the Huila Department of southwestern Colombia, known for its agricultural economy and Andean rural landscapes.
  • E. Aljezur
    Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862dbb008190aef653acddafd38b completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21df856c819099cf9047b87d6db8 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.