Triple

T1153941
Position Surface form Disambiguated ID Type / Status
Subject Drenthe E23739 entity
Predicate largestCity P235 FINISHED
Object Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
E137025 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: Emmen | Statement: [Drenthe, largestCity, Emmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmen
Context triple: [Drenthe, largestCity, Emmen]
  • A. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • B. Tumpa
    Tumpa is a song featured on the album "Legend of the Sun Virgin."
  • C. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • 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: Emmen
Triple: [Drenthe, largestCity, Emmen]
Generated description
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emmen
Target entity description: Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • A. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • B. Tumpa
    Tumpa is a song featured on the album "Legend of the Sun Virgin."
  • C. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8e9cb481908a528a828b21d497 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7642ff0c81909b323ac328b18e2e completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76f20f308190be3c831eb2d59763 completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac77585c708190b5f4b239d9574cd7 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:44 p.m.