Triple

T17263086
Position Surface form Disambiguated ID Type / Status
Subject Habib Bourguiba Mausoleum E419054 entity
Predicate locatedIn P40 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: [Habib Bourguiba Mausoleum, locatedIn, Monastir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monastir
Context triple: [Habib Bourguiba Mausoleum, locatedIn, 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
    Monastir is a small town and municipality in southern Sardinia, Italy, known for its agricultural activities and proximity to the regional capital Cagliari.
  • C. 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.
  • D. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • E. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4379848190add32ba8e5f93527 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ce69d08190aa254f219a572a92 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.