Triple

T6383885
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Nasheed E143650 entity
Predicate residence P75 FINISHED
Object Malé E159965 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: Malé | Statement: [Mohamed Nasheed, residence, Malé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malé
Context triple: [Mohamed Nasheed, residence, Malé]
  • A. Malé chosen
    Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
  • B. Maléter
    Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
  • C. Kleine Enz
    Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
  • D. Kichikdash
    Kichikdash is a notable rock formation and archaeological site within Azerbaijan’s Gobustan Rock Art Cultural Landscape, known for its ancient petroglyphs and cultural significance.
  • E. Milna
    Milna is a picturesque coastal village and harbor town on the western side of the Croatian island of Brač, known for its traditional stone architecture and sheltered bay.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06856434481909cbbca1c12c6e070 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640b7e89881908e1c39d45e8a8473 completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:34 p.m.