Triple

T16502364
Position Surface form Disambiguated ID Type / Status
Subject Trung Kỳ E400828 entity
Predicate containsRegion P285 FINISHED
Object Quảng Ngãi
Quảng Ngãi is a coastal province in central Vietnam known for its historical sites, beaches, and role in the Vietnam War.
 E1220169 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: Quảng Ngãi | Statement: [Trung Kỳ, containsRegion, Quảng Ngãi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quảng Ngãi
Context triple: [Trung Kỳ, containsRegion, Quảng Ngãi]
  • A. Quang Tri Province
    Quang Tri Province is a central Vietnamese province near the former Demilitarized Zone that was a major battleground during the Vietnam War.
  • B. Phong Điền
    Phong Điền is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards and traditional floating markets.
  • C. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • D. Quang Binh Province
    Quang Binh Province is a coastal region in north-central Vietnam known for its historic significance and spectacular cave systems, including parts of the Phong Nha-Ke Bang National Park.
  • E. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • 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: Quảng Ngãi
Triple: [Trung Kỳ, containsRegion, Quảng Ngãi]
Generated description
Quảng Ngãi is a coastal province in central Vietnam known for its historical sites, beaches, and role in the Vietnam War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quảng Ngãi
Target entity description: Quảng Ngãi is a coastal province in central Vietnam known for its historical sites, beaches, and role in the Vietnam War.
  • A. Quang Tri Province
    Quang Tri Province is a central Vietnamese province near the former Demilitarized Zone that was a major battleground during the Vietnam War.
  • B. Phong Điền
    Phong Điền is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards and traditional floating markets.
  • C. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • D. Quang Binh Province
    Quang Binh Province is a coastal region in north-central Vietnam known for its historic significance and spectacular cave systems, including parts of the Phong Nha-Ke Bang National Park.
  • E. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e50436c8190836a1bc2baa188b1 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a31c8881909b05c49c8006785d completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a006bbe84b481908814dea1519bba84 completed May 10, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_6a006c0e8ff0819084b4b02b49db0386 completed May 10, 2026, 11:29 a.m.
Created at: April 10, 2026, 5:14 a.m.