Triple

T6939490
Position Surface form Disambiguated ID Type / Status
Subject San José Province E160636 entity
Predicate contains P35 FINISHED
Object Pérez Zeledón
Pérez Zeledón is a largely rural canton in southern Costa Rica known for its agricultural production, mountainous landscapes, and role as a regional commercial hub.
 E628656 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: Pérez Zeledón | Statement: [San José Province, contains, Pérez Zeledón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pérez Zeledón
Context triple: [San José Province, contains, Pérez Zeledón]
  • A. Pérez Zeledón
    Pérez Zeledón is a Costa Rican professional football club that competes in the country’s top division.
  • B. Comayagua
    Comayagua is a historic city in central Honduras known for its colonial architecture and strategic location near the Palmerola Air Base.
  • C. Puntarenas Province
    Puntarenas Province is a large coastal region in western Costa Rica known for its Pacific beaches, ports, and popular tourist destinations.
  • D. Chiriquí Province
    Chiriquí Province is a western Panamanian province bordering Costa Rica, known for its agricultural production, mountain landscapes, and the highland town of Boquete.
  • E. El Nicoya
    "El Nicoya" is a song by the experimental rock band Abraxas.
  • 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: Pérez Zeledón
Triple: [San José Province, contains, Pérez Zeledón]
Generated description
Pérez Zeledón is a largely rural canton in southern Costa Rica known for its agricultural production, mountainous landscapes, and role as a regional commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pérez Zeledón
Target entity description: Pérez Zeledón is a largely rural canton in southern Costa Rica known for its agricultural production, mountainous landscapes, and role as a regional commercial hub.
  • A. Pérez Zeledón
    Pérez Zeledón is a Costa Rican professional football club that competes in the country’s top division.
  • B. Comayagua
    Comayagua is a historic city in central Honduras known for its colonial architecture and strategic location near the Palmerola Air Base.
  • C. Puntarenas Province
    Puntarenas Province is a large coastal region in western Costa Rica known for its Pacific beaches, ports, and popular tourist destinations.
  • D. Chiriquí Province
    Chiriquí Province is a western Panamanian province bordering Costa Rica, known for its agricultural production, mountain landscapes, and the highland town of Boquete.
  • E. El Nicoya
    "El Nicoya" is a song by the experimental rock band Abraxas.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.