Triple

T17477605
Position Surface form Disambiguated ID Type / Status
Subject Phú Yên province E425578 entity
Predicate contains P35 FINISHED
Object Sông Cầu town
Sông Cầu town is a coastal urban locality in south-central Vietnam known for its fishing industry and scenic bays.
E1271029 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: Sông Cầu town | Statement: [Phú Yên province, contains, Sông Cầu town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sông Cầu town
Context triple: [Phú Yên province, contains, Sông Cầu town]
  • A. Hồ town
    Hồ town is the principal urban and administrative hub of Thuận Thành District in Vietnam.
  • B. Sann town
    Sann town is a settlement in Sindh, Pakistan, known for its historical significance and as the birthplace of prominent Sindhi nationalist leader G. M. Syed.
  • C. Riverstown
    Riverstown is a small village in County Cork, Ireland, situated close to the suburban town of Glanmire near Cork City.
  • D. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • E. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • 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: Sông Cầu town
Triple: [Phú Yên province, contains, Sông Cầu town]
Generated description
Sông Cầu town is a coastal urban locality in south-central Vietnam known for its fishing industry and scenic bays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sông Cầu town
Target entity description: Sông Cầu town is a coastal urban locality in south-central Vietnam known for its fishing industry and scenic bays.
  • A. Hồ town
    Hồ town is the principal urban and administrative hub of Thuận Thành District in Vietnam.
  • B. Sann town
    Sann town is a settlement in Sindh, Pakistan, known for its historical significance and as the birthplace of prominent Sindhi nationalist leader G. M. Syed.
  • C. Riverstown
    Riverstown is a small village in County Cork, Ireland, situated close to the suburban town of Glanmire near Cork City.
  • D. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • E. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b8301b7881909fa726ab44bb9a21 completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b9a47ae88190a47c63740c6a3a7c completed May 11, 2026, 11:12 a.m.
NED2 Entity disambiguation (via description) batch_6a01ba4abbe88190bb83514bc086ffab completed May 11, 2026, 11:15 a.m.
Created at: April 10, 2026, 5:47 a.m.