Triple

T6729317
Position Surface form Disambiguated ID Type / Status
Subject S.L. Benfica E153593 entity
Predicate mainSponsor P737 FINISHED
Object Emirates E67024 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: Emirates | Statement: [S.L. Benfica, mainSponsor, Emirates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emirates
Context triple: [S.L. Benfica, mainSponsor, Emirates]
  • A. Emirates chosen
    Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
  • B. Etihad Airways
    Etihad Airways is the national airline of the United Arab Emirates, based in Abu Dhabi and operating an extensive network of international passenger and cargo flights.
  • C. Saudia
    Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
  • D. Qatar Airways
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • E. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b00ba9c8190aaae2220972ff4f2 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:08 p.m.