Triple

T9022602
Position Surface form Disambiguated ID Type / Status
Subject Orduña E215763 entity
Predicate locatedInRegion P40 FINISHED
Object Enkarterri
Enkarterri is a historical comarca in the western part of Biscay in the Basque Country, northern Spain, known for its rural landscapes and industrial heritage.
 E773711 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: Enkarterri | Statement: [Orduña, locatedInRegion, Enkarterri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enkarterri
Context triple: [Orduña, locatedInRegion, Enkarterri]
  • A. Erakor
    Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
  • B. Errapragada
    Errapragada, also known as Yerrapragada, was a prominent 14th-century Telugu poet and scholar renowned for his contributions to classical Telugu literature and translation of Sanskrit epics.
  • C. Atabillos
    Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
  • D. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
  • E. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • 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: Enkarterri
Triple: [Orduña, locatedInRegion, Enkarterri]
Generated description
Enkarterri is a historical comarca in the western part of Biscay in the Basque Country, northern Spain, known for its rural landscapes and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enkarterri
Target entity description: Enkarterri is a historical comarca in the western part of Biscay in the Basque Country, northern Spain, known for its rural landscapes and industrial heritage.
  • A. Erakor
    Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
  • B. Errapragada
    Errapragada, also known as Yerrapragada, was a prominent 14th-century Telugu poet and scholar renowned for his contributions to classical Telugu literature and translation of Sanskrit epics.
  • C. Atabillos
    Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
  • D. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
  • E. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a454b808190af6bb48f7a4da917 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:07 p.m.