Triple

T37489168
Position Surface form Disambiguated ID Type / Status
Subject La Pobla de Lillet E931625 entity
Predicate hasAttraction P105 FINISHED
Object Cement train of La Pobla de Lillet
The Cement train of La Pobla de Lillet is a historic narrow-gauge tourist railway in Catalonia that runs through scenic mountain landscapes and former industrial sites linked to the region’s cement industry.
E2229317 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: Cement train of La Pobla de Lillet | Statement: [La Pobla de Lillet, hasAttraction, Cement train of La Pobla de Lillet]
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: Cement train of La Pobla de Lillet
Triple: [La Pobla de Lillet, hasAttraction, Cement train of La Pobla de Lillet]
Generated description
The Cement train of La Pobla de Lillet is a historic narrow-gauge tourist railway in Catalonia that runs through scenic mountain landscapes and former industrial sites linked to the region’s cement industry.

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_69f76ec457a4819094eeb3aed9baac11 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba379f6548190b54805efcd5da50b completed May 6, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408c4684a08190a55fc69dc271f269 completed June 28, 2026, 2:51 a.m.
NEDg Description generation batch_6a408dcfa3d88190b70579dceeaf8eb7 completed June 28, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a408e97e47c81909494b24e0e064f6f completed June 28, 2026, 3:01 a.m.
Created at: May 3, 2026, 4:17 p.m.