Triple

T19547933
Position Surface form Disambiguated ID Type / Status
Subject Ziz Valley E489123 entity
Predicate nearSettlement P3883 FINISHED
Object Erfoud NE NERFINISHED

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: Erfoud | Statement: [Ziz Valley, nearSettlement, Erfoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erfoud
Context triple: [Ziz Valley, nearSettlement, Erfoud]
  • A. Erfoud chosen
    Erfoud is a small town in eastern Morocco known as a gateway to the Sahara Desert and nearby Erg Chebbi dunes.
  • B. Darghouth
    Darghouth is an alternative name for Turgut Reis, the renowned 16th-century Ottoman admiral and corsair who became a prominent naval commander in the Mediterranean.
  • C. Beruwala
    Beruwala is a coastal town in southwestern Sri Lanka known for its beaches, fishing harbor, and historic Muslim community.
  • D. Anfa
    Anfa is the historic coastal settlement that evolved into modern-day Casablanca, serving as an important port and cultural center in what is now western Morocco.
  • E. Merowe
    Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2e5e588190ac3a6f612d4fb54b completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.