Triple

T35908253

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mauna Ulu eruption	`E1038532`	entity
Predicate	eruptionCenter	`P59041`	FINISHED
Object	Mauna Ulu Mauna Ulu is a volcanic vent and lava shield on Kīlauea volcano in Hawaii, known for its long-lasting and highly studied eruptions between 1969 and 1974.	`E2161704`	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: Mauna Ulu | Statement: [Mauna Ulu eruption, eruptionCenter, Mauna Ulu]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Mauna Ulu
Triple: [Mauna Ulu eruption, eruptionCenter, Mauna Ulu]

Generated description

Mauna Ulu is a volcanic vent and lava shield on Kīlauea volcano in Hawaii, known for its long-lasting and highly studied eruptions between 1969 and 1974.

Provenance (5 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_69f76e2259608190bf6788a132e0d139`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7aa70d88c8190ace7c5cf23b135ea`	completed	May 3, 2026, 8:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38ae2b4d5c8190ac0caa7f3ece9b11`	completed	June 22, 2026, 3:38 a.m.
NEDg	Description generation	`batch_6a38aed9c3608190be4d8a738722fc4f`	completed	June 22, 2026, 3:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38afe3882c819094065a02436b8868`	completed	June 22, 2026, 3:45 a.m.

Created at: May 3, 2026, 4:07 p.m.