Triple

T10714431
Position Surface form Disambiguated ID Type / Status
Subject Santa Marija Tower E252623 entity
Predicate nearbyCity P350 FINISHED
Object Mellieħa
Mellieħa is a coastal town in northern Malta known for its sandy beaches, historic churches, and scenic views over Mellieħa Bay.
 E881101 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: Mellieħa | Statement: [Santa Marija Tower, nearbyCity, Mellieħa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mellieħa
Context triple: [Santa Marija Tower, nearbyCity, Mellieħa]
  • A. Sineu
    Sineu is a historic inland town on the Spanish island of Mallorca, known for its traditional weekly market and well-preserved medieval architecture.
  • B. Żejtun
    Żejtun is a historic town in southeastern Malta known for its traditional architecture, olive-growing heritage, and prominent parish church.
  • C. Qormi
    Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
  • D. Ispica
    Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
  • E. Kerċem
    Kerċem is a small village on the island of Gozo in Malta, known for its rural landscapes and traditional Maltese character.
  • 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: Mellieħa
Triple: [Santa Marija Tower, nearbyCity, Mellieħa]
Generated description
Mellieħa is a coastal town in northern Malta known for its sandy beaches, historic churches, and scenic views over Mellieħa Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mellieħa
Target entity description: Mellieħa is a coastal town in northern Malta known for its sandy beaches, historic churches, and scenic views over Mellieħa Bay.
  • A. Sineu
    Sineu is a historic inland town on the Spanish island of Mallorca, known for its traditional weekly market and well-preserved medieval architecture.
  • B. Żejtun
    Żejtun is a historic town in southeastern Malta known for its traditional architecture, olive-growing heritage, and prominent parish church.
  • C. Qormi
    Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
  • D. Ispica
    Ispica is a historic town in southeastern Sicily, Italy, known for its Baroque architecture and nearby archaeological and natural sites such as the Cava d’Ispica.
  • E. Kerċem
    Kerċem is a small village on the island of Gozo in Malta, known for its rural landscapes and traditional Maltese character.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff324d1881908b7cdf4ac208125f completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
NEDg Description generation batch_69d99e86e198819080f71400295a31e7 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadccd1d7081908ae53b97d2c2a6cb completed April 11, 2026, 11:44 p.m.
Created at: April 8, 2026, 9:13 p.m.