Triple

T29095
Position Surface form Disambiguated ID Type / Status
Subject Albufeira E580 entity
Predicate hasPart P35 FINISHED
Object Albufeira Old Town E580 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: Albufeira Old Town | Statement: [Albufeira, hasPart, Albufeira Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albufeira Old Town
Context triple: [Albufeira, hasPart, Albufeira Old Town]
  • A. Albufeira chosen
    Albufeira is a popular coastal resort city in Portugal’s Algarve region, known for its beaches, nightlife, and tourism.
  • B. Furnes (Veurne)
    Furnes (Veurne) is a historic town in West Flanders, Belgium, known for its well-preserved medieval architecture and role as a regional cultural center.
  • C. Coimbra Group
    The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
  • D. Lunenburg
    Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
  • E. Amsterdam
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a248751fa88190992b6262a44b54f3 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5d121c8190bf7bb88346dcc141 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.