Triple

T14192795
Position Surface form Disambiguated ID Type / Status
Subject Federation of Arab Emirates of the South E351753 entity
Predicate memberState P10 FINISHED
Object Beihan E351756 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: Beihan | Statement: [Federation of Arab Emirates of the South, memberState, Beihan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beihan
Context triple: [Federation of Arab Emirates of the South, memberState, Beihan]
  • A. Beihan chosen
    Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
  • B. Baikasai
    Baikasai is a traditional plum blossom festival held at Kyoto’s Kitano Tenmangū Shrine, featuring seasonal plum viewing and cultural performances.
  • C. Qitaihe
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang Province.
  • D. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • E. Dushun
    Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.