Triple

T24722086
Position Surface form Disambiguated ID Type / Status
Subject Oceanus Procellarum E612333 entity
Predicate containsFeature P182 FINISHED
Object Rimae Marius
Rimae Marius is a system of lunar rilles located in the Oceanus Procellarum region on the Moon, characterized by long, sinuous grooves formed by ancient volcanic or tectonic activity.
E1647340 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: Rimae Marius | Statement: [Oceanus Procellarum, containsFeature, Rimae Marius]
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: Rimae Marius
Triple: [Oceanus Procellarum, containsFeature, Rimae Marius]
Generated description
Rimae Marius is a system of lunar rilles located in the Oceanus Procellarum region on the Moon, characterized by long, sinuous grooves formed by ancient volcanic or tectonic activity.

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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f4101804608190aadac3ecd7a490a8 completed May 1, 2026, 2:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101017caa8819088e8d8e1c4018736 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136d2c448190918a7eeb751a2a84 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a101436b0008190a5e27291df640af5 completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 3:41 a.m.