Triple

T16111407
Position Surface form Disambiguated ID Type / Status
Subject Rissani E390886 entity
Predicate locatedNear P294 FINISHED
Object Merzouga E484162 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: Merzouga | Statement: [Rissani, locatedNear, Merzouga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merzouga
Context triple: [Rissani, locatedNear, Merzouga]
  • A. Merzouga chosen
    Merzouga is a small desert village in southeastern Morocco, famous as a gateway to the Erg Chebbi sand dunes and popular for Sahara desert tourism.
  • B. Témara
    Témara is a coastal city in northwestern Morocco, situated just south of the capital Rabat and known as a growing residential and industrial suburb in the Rabat metropolitan area.
  • C. Tinghir
    Tinghir is a town in southeastern Morocco known for its palm oasis and proximity to the dramatic Todra Gorge in the Atlas Mountains.
  • D. Ouarzazate
    Ouarzazate is a city in south-central Morocco known as a gateway to the Sahara Desert and a major hub for film production and desert tourism.
  • E. Dakhla
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016718ec8190a6c8284c7f612ea8 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a44cb48190abe3b1ea27349734 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.