Triple

T32758733
Position Surface form Disambiguated ID Type / Status
Subject Mount Yong Yap E837697 entity
Predicate isPartOf P10 FINISHED
Object Main Range of Peninsular Malaysia
The Main Range of Peninsular Malaysia is a major north–south mountain backbone of the Malay Peninsula, known for its high peaks, dense tropical rainforests, and rich biodiversity.
E2021484 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: Main Range of Peninsular Malaysia | Statement: [Mount Yong Yap, isPartOf, Main Range of Peninsular Malaysia]
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: Main Range of Peninsular Malaysia
Triple: [Mount Yong Yap, isPartOf, Main Range of Peninsular Malaysia]
Generated description
The Main Range of Peninsular Malaysia is a major north–south mountain backbone of the Malay Peninsula, known for its high peaks, dense tropical rainforests, and rich biodiversity.

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_69f34937f97c8190b7f84bea045df3ae completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cce2a8d88190b216c53ea6bebae3 completed May 3, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7c0162881908efecdc1692446c3 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a8fb2e0081908cdac2a172ea5c32 completed June 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34a9cef0248190bf3bef6627945496 completed June 19, 2026, 2:30 a.m.
Created at: May 1, 2026, 1:13 a.m.