Triple

T36064519
Position Surface form Disambiguated ID Type / Status
Subject Luna 15 E1043182 entity
Predicate alternativeName P39 FINISHED
Object Ye-8-5 No.401
Ye-8-5 No.401 is the Soviet Luna 15 spacecraft, an unmanned lunar probe launched in 1969 in an attempt to return samples from the Moon.
E2170893 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: Ye-8-5 No.401 | Statement: [Luna 15, alternativeName, Ye-8-5 No.401]
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: Ye-8-5 No.401
Triple: [Luna 15, alternativeName, Ye-8-5 No.401]
Generated description
Ye-8-5 No.401 is the Soviet Luna 15 spacecraft, an unmanned lunar probe launched in 1969 in an attempt to return samples from the Moon.

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_69f76e2f09448190b0486d5ecad5e243 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2150c3c8190a972c583ce62d78b completed May 3, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddf7f7308190bc3fa076b04c061a completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38ff431f0c8190885f80ac9860414d completed June 22, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_6a38ff9ae5fc8190a9e969f731b2a9d0 completed June 22, 2026, 9:25 a.m.
Created at: May 3, 2026, 4:08 p.m.