Triple

T38612043
Position Surface form Disambiguated ID Type / Status
Subject Flag Day of Peru E934506 entity
Predicate partOf P40 FINISHED
Object Peruvian civic calendar
The Peruvian civic calendar is the official schedule of national commemorations, holidays, and patriotic observances that structure Peru’s public and cultural life throughout the year.
E2278342 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: Peruvian civic calendar | Statement: [Flag Day of Peru, partOf, Peruvian civic calendar]
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: Peruvian civic calendar
Triple: [Flag Day of Peru, partOf, Peruvian civic calendar]
Generated description
The Peruvian civic calendar is the official schedule of national commemorations, holidays, and patriotic observances that structure Peru’s public and cultural life throughout the year.

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_69f76eccd6d081909ccce171011739a1 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd971a5d881908b25574549e961b8 completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f4436a008190b2bd9922aa02d3a4 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f55d6f74819085b208204dcd68dc completed June 29, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_6a41f6229fb8819099ba86f2db3ae6d1 completed June 29, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:32 p.m.