Triple

T27233372
Position Surface form Disambiguated ID Type / Status
Subject Revenue Department of Thailand E682212 entity
Predicate collaboratesWith P37 FINISHED
Object Excise Department of Thailand
The Excise Department of Thailand is a government agency responsible for administering and collecting excise taxes on selected goods and services within the country.
E1762545 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: Excise Department of Thailand | Statement: [Revenue Department of Thailand, collaboratesWith, Excise Department of Thailand]
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: Excise Department of Thailand
Triple: [Revenue Department of Thailand, collaboratesWith, Excise Department of Thailand]
Generated description
The Excise Department of Thailand is a government agency responsible for administering and collecting excise taxes on selected goods and services within the country.

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_69eefacdad7881908b7bca61c90a1a1e completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62650ac7081908ebb09374760e877 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262730bc08190ac8b566169ffeebd completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126580cdf881908132820180f17505 completed May 24, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a1266053b708190b8561f464961ce26 completed May 24, 2026, 2:44 a.m.
Created at: April 27, 2026, 9:47 a.m.