Triple

T11308894
Position Surface form Disambiguated ID Type / Status
Subject Province of Trapani E267786 entity
Predicate contains P35 FINISHED
Object Partanna
Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
E917259 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: Partanna | Statement: [Province of Trapani, contains, Partanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Partanna
Context triple: [Province of Trapani, contains, Partanna]
  • A. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • B. Pastine
    Pastine is an Italian surname most notably associated with Giovanni Battista Pastine, an early 20th-century Italian aviator.
  • C. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • D. Partev
    Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
  • E. Parun
    Parun is a small town in eastern Afghanistan that serves as the administrative and political center of Nuristan Province.
  • 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: Partanna
Triple: [Province of Trapani, contains, Partanna]
Generated description
Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Partanna
Target entity description: Partanna is a historic town in western Sicily, Italy, known for its medieval castle, traditional architecture, and olive oil and wine production.
  • A. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • B. Pastine
    Pastine is an Italian surname most notably associated with Giovanni Battista Pastine, an early 20th-century Italian aviator.
  • C. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • D. Partev
    Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
  • E. Parun
    Parun is a small town in eastern Afghanistan that serves as the administrative and political center of Nuristan Province.
  • 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.