Triple

T15406615
Position Surface form Disambiguated ID Type / Status
Subject North Hsenwi E368472 entity
Predicate ruledBy P3022 FINISHED
Object saopha E368469 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: saopha | Statement: [North Hsenwi, ruledBy, saopha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: saopha
Context triple: [North Hsenwi, ruledBy, saopha]
  • A. SAPHEI
    SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
  • B. Saopha chosen
    Saopha was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • C. saola
    The saola is a critically endangered and elusive forest-dwelling bovine native to the Annamite Mountains of Vietnam and Laos, often called the “Asian unicorn” due to its rarity and recent discovery.
  • D. Sapp
    Sapp is the surname of Warren Sapp, a former American football defensive tackle and Pro Football Hall of Famer.
  • E. SA+P
    SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135a26f08190ad3fc1d5a263a24e completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.