Triple

T27446711
Position Surface form Disambiguated ID Type / Status
Subject Nakhon Ratchasima Province E692301 entity
Predicate containsNationalPark P2851 FINISHED
Object Thap Lan National Park
Thap Lan National Park is a large protected area in northeastern Thailand known for its rich biodiversity, extensive dry evergreen forests, and role as part of the Dong Phayayen–Khao Yai Forest Complex UNESCO World Heritage Site.
E1911824 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: Thap Lan National Park | Statement: [Nakhon Ratchasima Province, containsNationalPark, Thap Lan National Park]
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: Thap Lan National Park
Triple: [Nakhon Ratchasima Province, containsNationalPark, Thap Lan National Park]
Generated description
Thap Lan National Park is a large protected area in northeastern Thailand known for its rich biodiversity, extensive dry evergreen forests, and role as part of the Dong Phayayen–Khao Yai Forest Complex UNESCO World Heritage Site.

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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d920bfc8190b5b669c491a05b24 completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277beda02881908240a9a1a66cf365 completed June 9, 2026, 2:35 a.m.
NEDg Description generation batch_6a278388845081908a8cca62166aa482 completed June 9, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a27841b3b7081908394a099970ebac4 completed June 9, 2026, 3:10 a.m.
Created at: April 27, 2026, 12:46 p.m.