Triple

T28240503
Position Surface form Disambiguated ID Type / Status
Subject Khao Pu–Khao Ya National Park E712011 entity
Predicate mountainRange P648 FINISHED
Object Nakhon Si Thammarat Range
The Nakhon Si Thammarat Range is a forested mountain chain in southern Thailand known for its high peaks, rich biodiversity, and role as a watershed for the surrounding region.
 E1809650 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: Nakhon Si Thammarat Range | Statement: [Khao Pu–Khao Ya National Park, mountainRange, Nakhon Si Thammarat Range]
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: Nakhon Si Thammarat Range
Triple: [Khao Pu–Khao Ya National Park, mountainRange, Nakhon Si Thammarat Range]
Generated description
The Nakhon Si Thammarat Range is a forested mountain chain in southern Thailand known for its high peaks, rich biodiversity, and role as a watershed for the surrounding region.

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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c49d5081908fd9260a0280caaa completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6d1c2a48190ba0c43bfd0cfcbdb completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e7d2fef48190afc3d5ee7901ebac completed May 26, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_6a15fcfcbb94819096d38b205a60ba4a completed May 26, 2026, 8:05 p.m.
Created at: April 27, 2026, 10:58 p.m.