Triple

T504413
Position Surface form Disambiguated ID Type / Status
Subject Tunes E10470 entity
Predicate connectsTo P845 FINISHED
Object Faro E6080 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 | Statement: [Tunes, connectsTo, Faro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro
Context triple: [Tunes, connectsTo, Faro]
  • A. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • B. Faro Airport
    Faro Airport is the main international airport serving Portugal’s Algarve region, handling millions of tourists each year who visit its popular coastal resorts.
  • C. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • D. Faro District chosen
    Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
  • E. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a14c7d0481908368fb33ab14f4c6 completed March 1, 2026, 8:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.