Triple

T6395631
Position Surface form Disambiguated ID Type / Status
Subject C-5 E143932 entity
Predicate hasStation P35 FINISHED
Object El Soto
El Soto is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the surrounding suburban area.
 E590197 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: El Soto | Statement: [C-5, hasStation, El Soto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Soto
Context triple: [C-5, hasStation, El Soto]
  • A. Eanes
    Eanes is a Portuguese surname most prominently associated with António Ramalho Eanes, the former President of Portugal.
  • B. Quixadá
    Quixadá is a municipality in northeastern Brazil known for its distinctive rocky monoliths and adventure tourism, particularly rock climbing and hang gliding.
  • C. Kejuan
    Kejuan is the given first name of the American hip hop producer and rapper Havoc, best known as one half of the duo Mobb Deep.
  • D. San Felipe
    San Felipe is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
  • E. San Felipe
    San Felipe is a coastal town in Baja California, Mexico, known as a gateway to nearby natural attractions and desert and mountain landscapes.
  • 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: El Soto
Triple: [C-5, hasStation, El Soto]
Generated description
El Soto is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the surrounding suburban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Soto
Target entity description: El Soto is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the surrounding suburban area.
  • A. Eanes
    Eanes is a Portuguese surname most prominently associated with António Ramalho Eanes, the former President of Portugal.
  • B. Quixadá
    Quixadá is a municipality in northeastern Brazil known for its distinctive rocky monoliths and adventure tourism, particularly rock climbing and hang gliding.
  • C. Kejuan
    Kejuan is the given first name of the American hip hop producer and rapper Havoc, best known as one half of the duo Mobb Deep.
  • D. San Felipe
    San Felipe is a coastal town in Baja California, Mexico, known as a gateway to nearby natural attractions and desert and mountain landscapes.
  • E. San Felipe
    San Felipe is a historic city in central Chile known for its agricultural surroundings and role as a commercial and administrative center in the Aconcagua Valley.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0688275d0819086b58123c743a6db completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63897a5408190b6aada0e5c67fe27 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63a780e948190b61e42d31f2276ac completed March 27, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69c63b1c559c8190b9ab541193df48bb completed March 27, 2026, 8:09 a.m.
Created at: March 22, 2026, 4:35 p.m.