Triple

T24333504
Position Surface form Disambiguated ID Type / Status
Subject Kubor Range E613312 entity
Predicate countrySubdivision P766 FINISHED
Object Papua New Guinea Highlands provinces
The Papua New Guinea Highlands provinces are a mountainous inland region of Papua New Guinea known for their rugged terrain, diverse indigenous cultures, and significant agricultural production, especially coffee.
E1608870 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: Papua New Guinea Highlands provinces | Statement: [Kubor Range, countrySubdivision, Papua New Guinea Highlands provinces]
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: Papua New Guinea Highlands provinces
Triple: [Kubor Range, countrySubdivision, Papua New Guinea Highlands provinces]
Generated description
The Papua New Guinea Highlands provinces are a mountainous inland region of Papua New Guinea known for their rugged terrain, diverse indigenous cultures, and significant agricultural production, especially coffee.

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_69e2d7db6d5c819091194918157a7c1f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292f381b08190b529a765a5d5e89b completed April 29, 2026, 11:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe34fb6dc8190b0d539fe022da76c completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe3dc99cc8190bd872a114d2f3715 completed May 22, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe4369a048190b68023148e0c8f63 completed May 22, 2026, 5:05 a.m.
Created at: April 18, 2026, 1:56 a.m.