Triple

T11603282
Position Surface form Disambiguated ID Type / Status
Subject Qormi E275185 entity
Predicate borderedBy P224 FINISHED
Object Żebbuġ
Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
E994143 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: Żebbuġ | Statement: [Qormi, borderedBy, Żebbuġ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Żebbuġ
Context triple: [Qormi, borderedBy, Żebbuġ]
  • A. Sliema
    Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
  • B. Qormi
    Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
  • C. Balzan
    Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
  • D. Mtarfa
    Mtarfa is a small historic town in central Malta known for its former British military barracks, clock tower, and panoramic views over the surrounding countryside.
  • E. Valletta
    Valletta is a historic fortified port city on the island of Malta, renowned for its Baroque architecture and status as a UNESCO World Heritage Site.
  • 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: Żebbuġ
Triple: [Qormi, borderedBy, Żebbuġ]
Generated description
Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Żebbuġ
Target entity description: Żebbuġ is a historic town in central Malta known for its traditional architecture, parish church, and long-standing role in the island’s cultural and religious life.
  • A. Sliema
    Sliema is a coastal town in Malta known for its seafront promenade, shopping, and role as a major residential and commercial hub near the capital Valletta.
  • B. Qormi
    Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
  • C. Balzan
    Balzan is a small, traditional Maltese village in the Central Region known for its quiet residential character and historic churches.
  • D. Mtarfa
    Mtarfa is a small historic town in central Malta known for its former British military barracks, clock tower, and panoramic views over the surrounding countryside.
  • E. Valletta
    Valletta is a historic fortified port city on the island of Malta, renowned for its Baroque architecture and status as a UNESCO World Heritage Site.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954daa908190a8d532e43aa4a881 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f668479b188190ae720e77fbf6897f completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669527fe881909baeb84ccff506c8 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fe4bc48190adba50ad58b10c45 completed May 2, 2026, 9:17 p.m.
Created at: April 8, 2026, 9:38 p.m.