Triple

T9108161
Position Surface form Disambiguated ID Type / Status
Subject Duero E218527 entity
Predicate tributary P415 FINISHED
Object Esla
The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
 E779451 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: Esla | Statement: [Duero, tributary, Esla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esla
Context triple: [Duero, tributary, Esla]
  • A. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • B. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • 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: Esla
Triple: [Duero, tributary, Esla]
Generated description
The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esla
Target entity description: The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • A. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • B. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0302bfa00819097e752f1d0581d2d completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0343c1e78819084c7d2ca38f55529 completed April 3, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69d034a46b088190b8c056eee73d4eaf completed April 3, 2026, 9:44 p.m.
Created at: March 30, 2026, 7:16 p.m.