Triple
T38663448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Narai’s Palace |
E940390
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dusit Sawan Thanya Maha Prasat Hall
Dusit Sawan Thanya Maha Prasat Hall is a historic royal audience and ceremonial hall within King Narai’s palace complex in Lopburi, Thailand, renowned for its blend of Thai and European architectural influences.
|
E2279576
|
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: Dusit Sawan Thanya Maha Prasat Hall | Statement: [King Narai’s Palace, contains, Dusit Sawan Thanya Maha Prasat Hall]
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: Dusit Sawan Thanya Maha Prasat Hall Triple: [King Narai’s Palace, contains, Dusit Sawan Thanya Maha Prasat Hall]
Generated description
Dusit Sawan Thanya Maha Prasat Hall is a historic royal audience and ceremonial hall within King Narai’s palace complex in Lopburi, Thailand, renowned for its blend of Thai and European architectural influences.
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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdbef415c819095b6564345ea768f |
completed | May 7, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41fd6785c08190b2f7c93735c31c3c |
completed | June 29, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_6a41fea52f9c81908d9f297937f93120 |
completed | June 29, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ff511ed481909140acbd554ecce3 |
completed | June 29, 2026, 5:14 a.m. |
Created at: May 3, 2026, 4:33 p.m.