Triple

T26367207
Position Surface form Disambiguated ID Type / Status
Subject Formentor, Mallorca E660372 entity
Predicate hasViewpoint P854 FINISHED
Object Mirador del Mal Pas
Mirador del Mal Pas is a scenic cliffside viewpoint on Mallorca’s Formentor peninsula, renowned for its dramatic coastal panoramas over the Mediterranean Sea.
E1721573 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: Mirador del Mal Pas | Statement: [Formentor, Mallorca, hasViewpoint, Mirador del Mal Pas]
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: Mirador del Mal Pas
Triple: [Formentor, Mallorca, hasViewpoint, Mirador del Mal Pas]
Generated description
Mirador del Mal Pas is a scenic cliffside viewpoint on Mallorca’s Formentor peninsula, renowned for its dramatic coastal panoramas over the Mediterranean Sea.

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_69ee8126d52c8190bc0b34337c2c9aa8 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6102cee1081908fc0060af9412706 completed May 2, 2026, 2:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a715dd88190af87cfd90fa3f2c1 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119bbc54dc81908eac09f455b4c32a completed May 23, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a119c8b70c081908712fdefe5c7a147 completed May 23, 2026, 12:24 p.m.
Created at: April 26, 2026, 10:55 p.m.