Triple

T35438005
Position Surface form Disambiguated ID Type / Status
Subject Babase E1024262 entity
Predicate partOf P40 FINISHED
Object Islands of New Ireland Province
The Islands of New Ireland Province are a group of islands in Papua New Guinea’s New Ireland Province, known for their diverse indigenous cultures, tropical landscapes, and surrounding coral-rich waters.
E2142134 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: Islands of New Ireland Province | Statement: [Babase, partOf, Islands of New Ireland Province]
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: Islands of New Ireland Province
Triple: [Babase, partOf, Islands of New Ireland Province]
Generated description
The Islands of New Ireland Province are a group of islands in Papua New Guinea’s New Ireland Province, known for their diverse indigenous cultures, tropical landscapes, and surrounding coral-rich waters.

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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795bf884481908cfa2e923eaa2864 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384029b4cc819083a6a873f8512ec7 completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a38413f74d88190b7d5497e1b67451a completed June 21, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a3841e441d08190a5d5e858f5088e05 completed June 21, 2026, 7:56 p.m.
Created at: May 3, 2026, 4:04 p.m.