Triple

T14281969
Position Surface form Disambiguated ID Type / Status
Subject ZEE portuguesa E354071 entity
Predicate shortName P43 FINISHED
Object ZEE de Portugal E354071 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: ZEE de Portugal | Statement: [ZEE portuguesa, shortName, ZEE de Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZEE de Portugal
Context triple: [ZEE portuguesa, shortName, ZEE de Portugal]
  • A. ZEE portuguesa chosen
    ZEE portuguesa is the maritime area over which Portugal has special rights regarding the exploration and use of marine resources under international law.
  • B. Telefe
    Telefe is a major Argentine free-to-air television network known for broadcasting popular entertainment programs, telenovelas, and reality shows nationwide.
  • C. ZEE5
    ZEE5 is an Indian subscription-based video-on-demand and streaming platform offering a wide range of movies, TV shows, and original content in multiple languages.
  • D. Mediaset
    Mediaset is a major Italian commercial television and media company, founded by Silvio Berlusconi and known for operating several popular TV channels and media platforms.
  • E. Orange TV
    Orange TV is a subscription-based television platform operated by the telecommunications company Orange, offering a range of live channels and on-demand content.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3272c11c819091b1ffbfa1ee7457 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.