Triple

T36980246
Position Surface form Disambiguated ID Type / Status
Subject Wat Yai Chai Mongkhon E914806 entity
Predicate foundedBy P104 FINISHED
Object King U Thong
King U Thong was the founder and first monarch of the Ayutthaya Kingdom in Siam (Thailand), traditionally credited with establishing Ayutthaya as a major political and cultural center in the 14th century.
E2218840 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: King U Thong | Statement: [Wat Yai Chai Mongkhon, foundedBy, King U Thong]
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: King U Thong
Triple: [Wat Yai Chai Mongkhon, foundedBy, King U Thong]
Generated description
King U Thong was the founder and first monarch of the Ayutthaya Kingdom in Siam (Thailand), traditionally credited with establishing Ayutthaya as a major political and cultural center in the 14th century.

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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ff838360819091599701433412b4 completed May 5, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4043a677f4819089bae352bdf54f9a completed June 27, 2026, 9:41 p.m.
NEDg Description generation batch_6a40443a34148190b5b0848559466617 completed June 27, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a404639e5a88190a204ac46e57a660f completed June 27, 2026, 9:52 p.m.
Created at: May 3, 2026, 4:14 p.m.