Triple

T5024480
Position Surface form Disambiguated ID Type / Status
Subject Sita E112939 entity
Predicate children P980 FINISHED
Object Lava E470335 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: Lava | Statement: [Sita, children, Lava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lava
Context triple: [Sita, children, Lava]
  • A. Lava chosen
    Lava is a legendary prince in the Hindu epic Ramayana, known as one of the twin sons of Rama and Sita.
  • B. Shetani lava flow
    Shetani lava flow is a vast, rugged expanse of black volcanic rock in Kenya, famed for its dramatic landscape and local legends about its fiery origins.
  • C. Vulcan volcano
    Vulcan volcano is an active stratovolcano on the island of New Britain in Papua New Guinea, known for its explosive eruptions that have repeatedly devastated the nearby town of Rabaul.
  • D. Lvinaya Past Volcano
    Lvinaya Past Volcano is an extinct volcanic complex located in the Kuril Islands of Russia, known for its large caldera and heavily eroded structure.
  • E. Der Vulkan
    Der Vulkan is a 1939 exile novel by German writer Klaus Mann that portrays the lives and struggles of anti-Nazi refugees scattered across Europe on the eve of World War II.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736852e88190b69d6561ca7604c3 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.