Triple

T6192965
Position Surface form Disambiguated ID Type / Status
Subject Teresa Heinz E138439 entity
Predicate countryOfBirth P1 FINISHED
Object Portuguese Mozambique E505633 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: Portuguese Mozambique | Statement: [Teresa Heinz, countryOfBirth, Portuguese Mozambique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese Mozambique
Context triple: [Teresa Heinz, countryOfBirth, Portuguese Mozambique]
  • A. Mozambique
    Mozambique is a southeastern African nation on the Indian Ocean known for its Portuguese colonial heritage, rich cultural diversity, and extensive coastline with important ports and marine resources.
  • B. Portuguese East Africa chosen
    Portuguese East Africa was a former Portuguese colony in southeastern Africa, largely corresponding to present-day Mozambique.
  • C. Zimbabwe and Mozambique
    Zimbabwe and Mozambique are neighboring countries in southeastern Africa that share borders, rivers, and ecosystems, including the Pungwe River basin.
  • D. Monzambano
    Monzambano is a small Italian town in the Lombardy region, known for its scenic location near the Mincio River and its historic medieval center.
  • E. Azambuja
    Azambuja is a municipality in Portugal known for its agricultural landscape and proximity to the Lisbon metropolitan area.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06241977c81909ab8486f5aa30be0 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1403888190b558a43998fa5d05 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.