Triple

T21356616
Position Surface form Disambiguated ID Type / Status
Subject Errachidia E526644 entity
Predicate nearbyCity P350 FINISHED
Object Rissani 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: Rissani | Statement: [Errachidia, nearbyCity, Rissani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rissani
Context triple: [Errachidia, nearbyCity, Rissani]
  • A. Rissani chosen
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • B. Petritoli
    Petritoli is a historic hilltop town in Italy’s Marche region, known for its medieval architecture, panoramic countryside views, and well-preserved old center.
  • C. Rifiano
    Rifiano is a small municipality in South Tyrol, northern Italy, known for its Alpine scenery and location in the Passeier Valley.
  • D. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • E. Pragelato
    Pragelato is an Italian alpine village in the Piedmont region, known as a winter sports destination and former Olympic venue within the Via Lattea ski area.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa0fca481908f1fd02154bcba9f completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.