Triple

T37636229
Position Surface form Disambiguated ID Type / Status
Subject Mihintale E936494 entity
Predicate pilgrimageFestival P11809 FINISHED
Object Poson Poya
Poson Poya is a major Sri Lankan Buddhist festival commemorating the introduction of Buddhism to the island, marked by pilgrimages, religious observances, and illuminated celebrations.
E2235544 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: Poson Poya | Statement: [Mihintale, pilgrimageFestival, Poson Poya]
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: Poson Poya
Triple: [Mihintale, pilgrimageFestival, Poson Poya]
Generated description
Poson Poya is a major Sri Lankan Buddhist festival commemorating the introduction of Buddhism to the island, marked by pilgrimages, religious observances, and illuminated celebrations.

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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba961676c8190b55a4638a206ed54 completed May 6, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40aff985b88190ad14f7c8726937f1 completed June 28, 2026, 5:24 a.m.
NEDg Description generation batch_6a40b11c65048190a5b3e0eba7b902c0 completed June 28, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_6a40b1a8db08819096ff4f042c166f0b completed June 28, 2026, 5:31 a.m.
Created at: May 3, 2026, 4:18 p.m.