Triple

T24453064
Position Surface form Disambiguated ID Type / Status
Subject Las Marías, Puerto Rico E616599 entity
Predicate isPartOfMountainRange P648 FINISHED
Object Cordillera Central
Cordillera Central is the principal mountain range running across the interior of Puerto Rico, known for its high peaks, coffee-growing regions, and role as the island’s geographic backbone.
E819177 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: Cordillera Central | Statement: [Las Marías, Puerto Rico, isPartOfMountainRange, Cordillera Central]
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: Cordillera Central
Triple: [Las Marías, Puerto Rico, isPartOfMountainRange, Cordillera Central]
Generated description
Cordillera Central is the principal mountain range running across the interior of Puerto Rico, known for its high peaks, coffee-growing regions, and role as the island’s geographic backbone.

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_69e2d7edca608190aafefc8877a1b4da completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29859b824819087d4c7550dcbc426 completed April 29, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe34d752c81908ee7c1b1b77546db completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe44e2f9c8190a16f81052341c70a completed May 22, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe4e5d698819092a5d1b75f213ca0 completed May 22, 2026, 5:08 a.m.
Created at: April 18, 2026, 2:18 a.m.