Triple

T11308897
Position Surface form Disambiguated ID Type / Status
Subject Province of Trapani E267786 entity
Predicate contains P35 FINISHED
Object Salaparuta
Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
 E917262 NE FINISHED

How this triple was built (4 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: Salaparuta | Statement: [Province of Trapani, contains, Salaparuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salaparuta
Context triple: [Province of Trapani, contains, Salaparuta]
  • A. Pambo
    Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
  • B. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • C. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • D. Abanilla
    Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
  • E. Verdolagas
    Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Salaparuta
Triple: [Province of Trapani, contains, Salaparuta]
Generated description
Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salaparuta
Target entity description: Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
  • A. Pambo
    Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
  • B. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • C. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • D. Abanilla
    Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
  • E. Verdolagas
    Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
  • F. None of above. chosen

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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.