Triple

T29460291
Position Surface form Disambiguated ID Type / Status
Subject Orden Playa Girón E747216 entity
Predicate alsoKnownAs P39 FINISHED
Object Orden “Playa Girón”
The Orden “Playa Girón” is a high Cuban state honor awarded for exceptional merit in defending the nation and the principles of the Cuban Revolution.
 E1870819 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: Orden “Playa Girón” | Statement: [Orden Playa Girón, alsoKnownAs, Orden “Playa Girón”]
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: Orden “Playa Girón”
Triple: [Orden Playa Girón, alsoKnownAs, Orden “Playa Girón”]
Generated description
The Orden “Playa Girón” is a high Cuban state honor awarded for exceptional merit in defending the nation and the principles of the Cuban Revolution.

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_69f0bd4125f88190b56104591351619c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66b703fb48190ad2b95cf523bdd00 completed May 2, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c10aa0481909d8bcebc38ddf3b5 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a2610ecd9188190992451ec9445ef16 completed June 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a2614f20b708190a472201644083894 completed June 8, 2026, 1:03 a.m.
Created at: April 28, 2026, 3:49 p.m.