Triple

T3337322
Position Surface form Disambiguated ID Type / Status
Subject Maputo E70168 entity
Predicate formerName P65 FINISHED
Object Lourenço Marques E95848 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: Lourenço Marques | Statement: [Maputo, formerName, Lourenço Marques]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourenço Marques
Context triple: [Maputo, formerName, Lourenço Marques]
  • A. Lourenço Marques chosen
    Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
  • B. Beira
    Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
  • C. Jaboatão dos Guararapes
    Jaboatão dos Guararapes is a major coastal city in northeastern Brazil known for its historical significance in the Dutch-Portuguese conflicts and its integration into the metropolitan area of Recife.
  • D. Port of Salvador
    The Port of Salvador is a major Brazilian seaport and cargo hub on the Atlantic coast, serving as a key gateway for trade in northeastern Brazil.
  • E. Porto Judeu
    Porto Judeu is a civil parish on Terceira Island in the Azores, Portugal, known for its coastal setting and traditional Azorean character.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bc31b4819085f01e0b5a7cbc5d completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ad1a8819081d7ad2a48e2c5b9 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.