Triple

T6215511
Position Surface form Disambiguated ID Type / Status
Subject Mahdia E138976 entity
Predicate nearbyCity P350 FINISHED
Object Monastir E428191 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: Monastir | Statement: [Mahdia, nearbyCity, Monastir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monastir
Context triple: [Mahdia, nearbyCity, Monastir]
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Monastir chosen
    Monastir is a coastal city in central-eastern Tunisia, known as a historic port and the birthplace and burial place of the country’s first president, Habib Bourguiba.
  • C. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • D. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • E. Dojran
    Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dacf1788190a655c39bd248fde8 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.