Triple

T4835531
Position Surface form Disambiguated ID Type / Status
Subject Southern Morocco E108048 entity
Predicate containsCity P294 FINISHED
Object Zagora E307873 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: Zagora | Statement: [Southern Morocco, containsCity, Zagora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zagora
Context triple: [Southern Morocco, containsCity, Zagora]
  • A. Zagora chosen
    Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
  • B. Zagora
    Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
  • C. Almeria
    Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
  • D. Teguise
    Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
  • E. Alzira
    Alzira is a historic town and municipality in eastern Spain known for its agricultural heritage and location along the Júcar River in the Valencian Community.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dda71e08190a28215f91405a4e1 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:25 p.m.