Triple

T8025686
Position Surface form Disambiguated ID Type / Status
Subject La Oliva E186847 entity
Predicate contains P35 FINISHED
Object Lajares
Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
E709181 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: Lajares | Statement: [La Oliva, contains, Lajares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lajares
Context triple: [La Oliva, contains, Lajares]
  • A. Montefrío
    Montefrío is a picturesque Andalusian town in southern Spain, renowned for its dramatic hilltop setting, whitewashed houses, and historic church and castle overlooking surrounding olive groves.
  • B. San José de Valderas
    San José de Valderas is a commuter rail station in the Madrid metropolitan area that serves passengers on the C-5 Cercanías line.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • 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: Lajares
Triple: [La Oliva, contains, Lajares]
Generated description
Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lajares
Target entity description: Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • A. Montefrío
    Montefrío is a picturesque Andalusian town in southern Spain, renowned for its dramatic hilltop setting, whitewashed houses, and historic church and castle overlooking surrounding olive groves.
  • B. San José de Valderas
    San José de Valderas is a commuter rail station in the Madrid metropolitan area that serves passengers on the C-5 Cercanías line.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ec9983c8190b468c13f5b5beb63 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c911c081909751b614966d986c completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:21 p.m.