Triple

T14162140
Position Surface form Disambiguated ID Type / Status
Subject Port of El Aaiún E350973 entity
Predicate nearbyCity P350 FINISHED
Object Laayoune E70237 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: Laayoune | Statement: [Port of El Aaiún, nearbyCity, Laayoune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laayoune
Context triple: [Port of El Aaiún, nearbyCity, Laayoune]
  • A. Laayoune chosen
    Laayoune is the largest city and de facto administrative center of Western Sahara, located in the northwest of the disputed territory near the Atlantic coast.
  • B. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • C. Tiznit
    Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
  • D. Cherchell
    Cherchell is a historic coastal town in northern Algeria, known for its ancient Phoenician and Roman heritage and its role as a cultural center in the region.
  • E. Guelmim
    Guelmim is a city in southern Morocco known as a gateway to the Sahara and a regional center for Saharan trade and culture.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d77e8dc8190b90f3505960e549e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 12:59 a.m.