Triple

T11367720
Position Surface form Disambiguated ID Type / Status
Subject Province of Jaén E269252 entity
Predicate river P165 FINISHED
Object Guadalimar
Guadalimar is a river in southern Spain that flows through the Province of Jaén as a tributary of the Guadalquivir.
 E926938 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: Guadalimar | Statement: [Province of Jaén, river, Guadalimar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guadalimar
Context triple: [Province of Jaén, river, Guadalimar]
  • A. Parral
    Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
  • B. Parral
    Parral is a locality within the Mexican state of Nueva Vizcaya, known historically as part of the region’s colonial-era mining and agricultural hinterland.
  • C. Parral
    Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
  • D. Ensenada
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • E. Ensenada
    Ensenada is a small lakeside village in southern Chile’s Los Lagos Region, known as a gateway to outdoor activities around Lake Llanquihue and the nearby Osorno Volcano.
  • 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: Guadalimar
Triple: [Province of Jaén, river, Guadalimar]
Generated description
Guadalimar is a river in southern Spain that flows through the Province of Jaén as a tributary of the Guadalquivir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guadalimar
Target entity description: Guadalimar is a river in southern Spain that flows through the Province of Jaén as a tributary of the Guadalquivir.
  • A. Parral
    Parral is a historic mining city in the Mexican state of Chihuahua, known for its colonial architecture and its association with revolutionary leader Pancho Villa.
  • B. Parral
    Parral is a Chilean town known as the birthplace of Nobel Prize–winning poet Pablo Neruda, located in the country’s agricultural Maule Region.
  • C. Parral
    Parral is a locality within the Mexican state of Nueva Vizcaya, known historically as part of the region’s colonial-era mining and agricultural hinterland.
  • D. Ensenada
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • E. Ensenada
    Ensenada is a small lakeside village in southern Chile’s Los Lagos Region, known as a gateway to outdoor activities around Lake Llanquihue and the nearby Osorno Volcano.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8be6d448190ba1e7197f8fc01c2 completed April 20, 2026, 8:50 a.m.
NEDg Description generation batch_69e5f1557e9c8190b53ce391793b2c7f completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f863bf7c81908969ed0a5b99f032 completed April 20, 2026, 9:56 a.m.
Created at: April 8, 2026, 9:33 p.m.