Triple

T10175756
Position Surface form Disambiguated ID Type / Status
Subject Kien Giang E235845 entity
Predicate hasTown P847 FINISHED
Object An Bien
An Bien is a coastal rural district-level town in Vietnam’s Kien Giang Province, known for its agriculture and fishing-based economy in the Mekong Delta region.
E846215 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: An Bien | Statement: [Kien Giang, hasTown, An Bien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Bien
Context triple: [Kien Giang, hasTown, An Bien]
  • A. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • B. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • C. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • D. Boeon
    Boeon was an ancient Greek city located in the region of Phocis.
  • E. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • 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: An Bien
Triple: [Kien Giang, hasTown, An Bien]
Generated description
An Bien is a coastal rural district-level town in Vietnam’s Kien Giang Province, known for its agriculture and fishing-based economy in the Mekong Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: An Bien
Target entity description: An Bien is a coastal rural district-level town in Vietnam’s Kien Giang Province, known for its agriculture and fishing-based economy in the Mekong Delta region.
  • A. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • B. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • C. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • D. Boeon
    Boeon was an ancient Greek city located in the region of Phocis.
  • E. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301232e5c8190ad80c4e78681994c completed April 6, 2026, 12:41 a.m.
NEDg Description generation batch_69d3028994fc81908507449a10e7e093 completed April 6, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d3031ed1e88190b9906338285a6e46 completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:11 p.m.