Triple

T8575080
Position Surface form Disambiguated ID Type / Status
Subject Sinamalé Bridge E203027 entity
Predicate connects P390 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: [Sinamalé Bridge, connects, Malé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malé
Context triple: [Sinamalé Bridge, connects, 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. Malo
    Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
  • D. Malé City
    Malé City is the densely populated capital of the Maldives, serving as its political, economic, and cultural center in the Indian Ocean.
  • E. Kleine Enz
    Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea947f188190af469babaa73ddf6 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd069faa481908db58399fe8f72f1 completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:21 p.m.