Triple

T7588707
Position Surface form Disambiguated ID Type / Status
Subject Queen's College, Hong Kong E179680 entity
Predicate formerName P65 FINISHED
Object Government Central School
Government Central School was a pioneering 19th-century English-medium government school in Hong Kong that later became known as Queen's College.
 E675708 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: Government Central School | Statement: [Queen's College, Hong Kong, formerName, Government Central School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Government Central School
Context triple: [Queen's College, Hong Kong, formerName, Government Central School]
  • A. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • B. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • C. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • D. West District School
    West District School is a public elementary school serving students in the town of Farmington, Connecticut.
  • E. South Middle School
    South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools 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: Government Central School
Triple: [Queen's College, Hong Kong, formerName, Government Central School]
Generated description
Government Central School was a pioneering 19th-century English-medium government school in Hong Kong that later became known as Queen's College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Government Central School
Target entity description: Government Central School was a pioneering 19th-century English-medium government school in Hong Kong that later became known as Queen's College.
  • A. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • B. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • C. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • D. West District School
    West District School is a public elementary school serving students in the town of Farmington, Connecticut.
  • E. South Middle School
    South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99991948190af1fb0635895ad94 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.