Triple

T12504345
Position Surface form Disambiguated ID Type / Status
Subject General Belgrano Department (La Rioja) E298908 entity
Predicate hasCapital P204 FINISHED
Object Olta
Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
 E986683 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: Olta | Statement: [General Belgrano Department (La Rioja), hasCapital, Olta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olta
Context triple: [General Belgrano Department (La Rioja), hasCapital, Olta]
  • A. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • B. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • E. Olal
    Olal is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
  • 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: Olta
Triple: [General Belgrano Department (La Rioja), hasCapital, Olta]
Generated description
Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olta
Target entity description: Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
  • A. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • B. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • E. Olal
    Olal is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.