Triple

T574327
Position Surface form Disambiguated ID Type / Status
Subject Zeeland E13728 entity
Predicate hasMunicipality P847 FINISHED
Object Goes
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
 E71950 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: Goes | Statement: [Zeeland, hasMunicipality, Goes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goes
Context triple: [Zeeland, hasMunicipality, Goes]
  • A. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • D. Chase
    Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
  • E. Argosy
    Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
  • 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: Goes
Triple: [Zeeland, hasMunicipality, Goes]
Generated description
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goes
Target entity description: Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • A. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • D. Chase
    Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
  • E. Argosy
    Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4c23548190a3b883239c7c78c8 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4c3df48190a886a8d3c633d417 completed March 2, 2026, 3:09 a.m.
NEDg Description generation batch_69a4ffcad6e08190938018ade5bc5d67 completed March 2, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69a5001de9c481909d43c001028c922c completed March 2, 2026, 3:12 a.m.
Created at: March 1, 2026, 7:33 p.m.