Triple

T26668434
Position Surface form Disambiguated ID Type / Status
Subject Parco Naturale della Maremma E672252 entity
Predicate hasPart P35 FINISHED
Object Uccellina Mountains
The Uccellina Mountains are a low coastal mountain range in southern Tuscany, Italy, known for their Mediterranean scrub, wildlife, and scenic cliffs within the Maremma Regional Park.
 E1789098 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: Uccellina Mountains | Statement: [Parco Naturale della Maremma, hasPart, Uccellina Mountains]
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: Uccellina Mountains
Triple: [Parco Naturale della Maremma, hasPart, Uccellina Mountains]
Generated description
The Uccellina Mountains are a low coastal mountain range in southern Tuscany, Italy, known for their Mediterranean scrub, wildlife, and scenic cliffs within the Maremma Regional Park.

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_69eecda00a9c8190b2691f4d89db03b6 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f616c618a4819092f858efa88c9a9d completed May 2, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec8844f081909f767e6a06aef37b completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed678580819082d28135e3fcb818 completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef54e2c8190b9e8d589f036b066 completed May 24, 2026, 12:28 p.m.
Created at: April 27, 2026, 3:11 a.m.