Triple

T38315344
Position Surface form Disambiguated ID Type / Status
Subject Acts of Parliament of Thailand E1033810 entity
Predicate promulgatedIn P10342 FINISHED
Object Royal Thai Government Gazette
The Royal Thai Government Gazette is the official public journal of Thailand used to publish laws, regulations, and government announcements to give them legal effect.
E2265189 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: Royal Thai Government Gazette | Statement: [Acts of Parliament of Thailand, promulgatedIn, Royal Thai Government Gazette]
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: Royal Thai Government Gazette
Triple: [Acts of Parliament of Thailand, promulgatedIn, Royal Thai Government Gazette]
Generated description
The Royal Thai Government Gazette is the official public journal of Thailand used to publish laws, regulations, and government announcements to give them legal effect.

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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6555e808190a389448e4f7e4ff1 completed May 7, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419e150d7c8190bcf466018be9834f completed June 28, 2026, 10:20 p.m.
NEDg Description generation batch_6a41a1d39b8c819090a9d8a377efbb1b completed June 28, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a41a22fa258819080e48db896a9f163 completed June 28, 2026, 10:37 p.m.
Created at: May 3, 2026, 4:30 p.m.