Triple

T3366691
Position Surface form Disambiguated ID Type / Status
Subject Flores Island E70853 entity
Predicate largestSettlement P163 FINISHED
Object Santa Cruz das Flores E351895 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: Santa Cruz das Flores | Statement: [Flores Island, largestSettlement, Santa Cruz das Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Cruz das Flores
Context triple: [Flores Island, largestSettlement, Santa Cruz das Flores]
  • A. Santa Cruz das Flores chosen
    Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
  • B. Santa Cruz do Sul
    Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
  • C. São Sebastião
    São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • D. Ponta da Piedade
    Ponta da Piedade is a famous coastal rock formation and viewpoint near Lagos in Portugal, known for its dramatic cliffs, sea caves, and turquoise waters.
  • E. São Vicente
    São Vicente is a coastal Brazilian city in the state of São Paulo, recognized as one of the country’s oldest European-founded settlements.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb287a30c8190b4c40091675c94fb completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334332ce88190b898894286c166c2 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.