Triple

T20689045
Position Surface form Disambiguated ID Type / Status
Subject Río Tajo E508499 entity
Predicate knownAs P39 FINISHED
Object Tajo
Tajo is the longest river in the Iberian Peninsula, flowing through Spain and Portugal before emptying into the Atlantic Ocean near Lisbon.
E1445816 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: Tajo | Statement: [Río Tajo, knownAs, Tajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tajo
Context triple: [Río Tajo, knownAs, Tajo]
  • A. Helaba
    Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
  • B. Baceno
    Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
  • C. Teba
    Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
  • D. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • E. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • 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: Tajo
Triple: [Río Tajo, knownAs, Tajo]
Generated description
Tajo is the longest river in the Iberian Peninsula, flowing through Spain and Portugal before emptying into the Atlantic Ocean near Lisbon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tajo
Target entity description: Tajo is the longest river in the Iberian Peninsula, flowing through Spain and Portugal before emptying into the Atlantic Ocean near Lisbon.
  • A. Helaba
    Helaba is a major German public-sector commercial bank, formally known as Landesbank Hessen-Thüringen, that provides wholesale, retail, and public finance services.
  • B. Baceno
    Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
  • C. Teba
    Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
  • D. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • E. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e226808190bf05b85afb173e36 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d9ca43288190a2be3d4f63141391 completed May 16, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a08da457ee48190ba18b3e34f117e19 completed May 16, 2026, 8:57 p.m.
Created at: April 16, 2026, 11:56 a.m.