Triple

T15884433
Position Surface form Disambiguated ID Type / Status
Subject Beira Alta E385153 entity
Predicate contains P35 FINISHED
Object Seia E374150 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: Seia | Statement: [Beira Alta, contains, Seia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seia
Context triple: [Beira Alta, contains, Seia]
  • A. Seia chosen
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
  • B. Seira
    Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
  • C. Kaiya
    Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.