Triple

T15509998
Position Surface form Disambiguated ID Type / Status
Subject Mongpan E368681 entity
Predicate traditionalRulerTitle P10605 FINISHED
Object Sawbwa E368468 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: Sawbwa | Statement: [Mongpan, traditionalRulerTitle, Sawbwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sawbwa
Context triple: [Mongpan, traditionalRulerTitle, Sawbwa]
  • A. Sawbwa chosen
    Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
  • B. Sawbwa
    Sawbwa is a small genus of Asian freshwater cyprinid fishes best known for the ornamental aquarium species Sawbwa resplendens, the Asian rummynose.
  • C. Mawarannahr
    Mawarannahr is the historical region of Transoxiana in Central Asia, centered between the Amu Darya and Syr Darya rivers and encompassing key Silk Road cities such as Samarkand and Bukhara.
  • D. Tawailia
    Tawailia is an alternate name for the Uma language, an Austronesian language spoken in parts of Indonesia.
  • E. Tebet
    Tebet is a densely populated urban district in South Jakarta, Indonesia, known for its residential neighborhoods, commercial areas, and busy traffic corridors.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.