Triple

T10197921
Position Surface form Disambiguated ID Type / Status
Subject International Ultraviolet Explorer E238809 entity
Predicate groundStation P52570 FINISHED
Object VILSPA E619829 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: VILSPA | Statement: [International Ultraviolet Explorer, groundStation, VILSPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VILSPA
Context triple: [International Ultraviolet Explorer, groundStation, VILSPA]
  • A. Coslada chosen
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • B. Paterna
    Paterna is a municipality in eastern Spain known for its proximity to the city of Valencia and its mix of industrial activity and residential areas.
  • C. Alcorcón
    Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
  • D. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • E. Leganés
    Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3c44408190b09fa41f2d257c04 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317e4a3308190b6ec4252bc55985d completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.