Triple

T4261086
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Malta E96104 entity
Predicate seat P75 FINISHED
Object Attard E253097 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: Attard | Statement: [Governor-General of Malta, seat, Attard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attard
Context triple: [Governor-General of Malta, seat, Attard]
  • A. Attard chosen
    Attard is a central Maltese town known for its residential character, gardens, and role as the site of the official residence of Malta’s president.
  • B. Senglea
    Senglea is a historic fortified city in Malta, renowned for its strategic role and heavy fortifications during the 1565 Great Siege of Malta.
  • C. Qormi
    Qormi is a historic town in central Malta known for its traditional bakeries, wine-making, and religious feasts.
  • D. Birkirkara
    Birkirkara is a densely populated town in central Malta known as a major residential and commercial hub with historic churches and traditional Maltese architecture.
  • E. Comiso
    Comiso is a town in the province of Ragusa in southeastern Sicily, Italy, known for its historic center and former NATO air base.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f8103b48190934a810faafa6cb7 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78c93c48190a4274f0de3fc2d25 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.