Triple

T12677214
Position Surface form Disambiguated ID Type / Status
Subject Linha do Minho E302846 entity
Predicate hasStation P35 FINISHED
Object Valença station
Valença station is a railway station in northern Portugal that serves the town of Valença on the Minho Line near the Spanish border.
E1000915 NE FINISHED

How this triple was built (4 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: Valença station | Statement: [Linha do Minho, hasStation, Valença station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valença station
Context triple: [Linha do Minho, hasStation, Valença station]
  • A. Verdaguer station
    Verdaguer station is an interchange stop on the Barcelona Metro network serving the central Eixample district.
  • B. Collblanc station
    Collblanc station is a major Barcelona Metro interchange serving multiple lines and providing access to the city's western districts and nearby Camp Nou stadium.
  • C. Valldaura station
    Valldaura station is an underground stop on the Barcelona Metro network located in the Horta-Guinardó district of the city.
  • D. Urquinaona station
    Urquinaona station is a central Barcelona Metro interchange station connecting multiple lines near Plaça d'Urquinaona in the city's Eixample district.
  • E. Baró de Viver station
    Baró de Viver station is a Barcelona Metro stop serving the Baró de Viver neighborhood in the Sant Andreu district of Barcelona, Spain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valença station
Triple: [Linha do Minho, hasStation, Valença station]
Generated description
Valença station is a railway station in northern Portugal that serves the town of Valença on the Minho Line near the Spanish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valença station
Target entity description: Valença station is a railway station in northern Portugal that serves the town of Valença on the Minho Line near the Spanish border.
  • A. Verdaguer station
    Verdaguer station is an interchange stop on the Barcelona Metro network serving the central Eixample district.
  • B. Collblanc station
    Collblanc station is a major Barcelona Metro interchange serving multiple lines and providing access to the city's western districts and nearby Camp Nou stadium.
  • C. Valldaura station
    Valldaura station is an underground stop on the Barcelona Metro network located in the Horta-Guinardó district of the city.
  • D. Urquinaona station
    Urquinaona station is a central Barcelona Metro interchange station connecting multiple lines near Plaça d'Urquinaona in the city's Eixample district.
  • E. Baró de Viver station
    Baró de Viver station is a Barcelona Metro stop serving the Baró de Viver neighborhood in the Sant Andreu district of Barcelona, Spain.
  • F. None of above. chosen

Provenance (5 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7722788190867cc8a27f678b4f completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f680ff9fa88190a5a5467839296a3f completed May 2, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69f681655c8c8190b1ca70d572768ed3 completed May 2, 2026, 10:57 p.m.
Created at: April 9, 2026, 5:20 p.m.