Triple

T15421318
Position Surface form Disambiguated ID Type / Status
Subject São João Railway Bridge E369385 entity
Predicate cityServed P82 FINISHED
Object Vila Nova de Gaia E181992 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: Vila Nova de Gaia | Statement: [São João Railway Bridge, cityServed, Vila Nova de Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Nova de Gaia
Context triple: [São João Railway Bridge, cityServed, Vila Nova de Gaia]
  • A. Vila do Conde
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • B. Caldas de Reis
    Caldas de Reis is a historic spa town in Galicia, northwestern Spain, known for its thermal springs and its location along the Camino de Santiago pilgrimage route.
  • C. Vila Nova de Gaia, Portugal chosen
    Vila Nova de Gaia is a large city in northern Portugal, located across the Douro River from Porto and renowned for its historic port wine cellars and riverfront.
  • D. Vila Nova de Famalicão
    Vila Nova de Famalicão is a municipality in northern Portugal known for its strong industrial base, particularly in textiles and manufacturing.
  • E. Porto-Campanhã
    Porto-Campanhã is the main railway station in Porto, Portugal, serving as a central hub for long-distance and regional train services across the country.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff28b707481908611ae8e23de3294 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 3:20 a.m.