Triple

T3110926
Position Surface form Disambiguated ID Type / Status
Subject Tavira railway station E64947 entity
Predicate connectsTo P845 FINISHED
Object Faro railway station E62900 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 railway station | Statement: [Tavira railway station, connectsTo, Faro railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro railway station
Context triple: [Tavira railway station, connectsTo, Faro railway station]
  • A. Faro railway station chosen
    Faro railway station is the main rail hub serving the city of Faro in Portugal’s Algarve region, providing regional and long-distance connections along the southern coast.
  • B. Faro bus terminal
    Faro bus terminal is the main intercity and regional bus station in Faro, Portugal, serving as a key hub for public transportation in the Algarve region.
  • C. Hynnekleiv Station
    Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
  • D. Narvik railway station
    Narvik railway station is a key terminus on the Ofoten Line in northern Norway, serving as an important rail hub above the Arctic Circle.
  • E. 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.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43954f0819096a96331bf3c53a8 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.