Triple

T11803705
Position Surface form Disambiguated ID Type / Status
Subject Amarapura E280690 entity
Predicate replacedAsCapitalBy P3417 FINISHED
Object Ava E276019 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: Ava | Statement: [Amarapura, replacedAsCapitalBy, Ava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava
Context triple: [Amarapura, replacedAsCapitalBy, Ava]
  • A. Ava chosen
    Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
  • B. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • C. Ava Quinn
    Ava Quinn is known as one of the children of American actor Aidan Quinn.
  • D. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • E. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.