Triple

T16319200
Position Surface form Disambiguated ID Type / Status
Subject Cochinchina campaign E396246 entity
Predicate location P40 FINISHED
Object Tourane
Tourane is the former name of Da Nang, a major port city in central Vietnam that served as a key strategic location during 19th-century French military campaigns.
 E1207433 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: Tourane | Statement: [Cochinchina campaign, location, Tourane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tourane
Context triple: [Cochinchina campaign, location, Tourane]
  • A. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • B. Terêna
    Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
  • C. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • D. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • E. Toria
    Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
  • 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: Tourane
Triple: [Cochinchina campaign, location, Tourane]
Generated description
Tourane is the former name of Da Nang, a major port city in central Vietnam that served as a key strategic location during 19th-century French military campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tourane
Target entity description: Tourane is the former name of Da Nang, a major port city in central Vietnam that served as a key strategic location during 19th-century French military campaigns.
  • A. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • B. Terêna
    Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
  • C. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • D. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • E. Toria
    Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b4ad448190b2b195a5e0032c6e completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260904748190ae1eb5713a6daa68 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00279321708190b91aaed83f1abc2c completed May 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_6a00282d9b0c81908031404c41b3baa5 completed May 10, 2026, 6:39 a.m.
Created at: April 10, 2026, 5:06 a.m.