Triple

T3581630
Position Surface form Disambiguated ID Type / Status
Subject UEFA Euro 2004 E75811 entity
Predicate hostCity P1798 FINISHED
Object Faro/Loulé E285804 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: Faro/Loulé | Statement: [UEFA Euro 2004, hostCity, Faro/Loulé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro/Loulé
Context triple: [UEFA Euro 2004, hostCity, Faro/Loulé]
  • A. Vilamoura
    Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
  • B. city of Faro chosen
    The city of Faro is the administrative and cultural capital of Portugal’s Algarve region, known for its historic old town, coastal lagoon, and role as a major regional transport hub.
  • C. Tavira
    Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
  • D. Funchal, Madeira, Portugal
    Funchal, Madeira, Portugal is the capital city of Portugal’s Madeira archipelago, known for its scenic harbor, subtropical climate, and as the hometown of footballer Cristiano Ronaldo.
  • E. Albufeira
    Albufeira is a popular coastal resort city in Portugal’s Algarve region, known for its beaches, nightlife, and tourism.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc102cb2881908fa4dc1bf6fa5961 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc95fa881909846a6d53ba6a24e completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.