Triple

T13176708
Position Surface form Disambiguated ID Type / Status
Subject Thibaw Palace E313115 entity
Predicate occupant P75 FINISHED
Object Supayalat E874821 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: Supayalat | Statement: [Thibaw Palace, occupant, Supayalat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supayalat
Context triple: [Thibaw Palace, occupant, Supayalat]
  • A. Supayalat chosen
    Supayalat was the last queen of Burma, known for her political influence and role during the final years of the Konbaung dynasty before British annexation.
  • B. Palapye
    Palapye is a rapidly growing town in central Botswana that serves as a key commercial and transport hub along the country’s main north–south corridor.
  • C. Supay
    Supay is a deity from Andean mythology commonly associated with the underworld and the spirits of the dead.
  • D. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • E. Piyassili
    Piyassili was a Hittite prince and military leader, known for governing Syrian territories such as Carchemish under his father, King Suppiluliuma I.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff116f1c819097e4c53cd1411d78 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:14 p.m.