Triple

T5809272
Position Surface form Disambiguated ID Type / Status
Subject Battle of Na San E128825 entity
Predicate location P40 FINISHED
Object Na San
Na San is a locality in northwestern Vietnam known primarily as the site of a major French defensive victory over the Viet Minh during the First Indochina War.
 E547975 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: Na San | Statement: [Battle of Na San, location, Na San]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Na San
Context triple: [Battle of Na San, location, Na San]
  • A. Son La
    Son La is a city in northwestern Vietnam known as a regional administrative and economic center in a mountainous area inhabited largely by ethnic minority groups.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • D. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • E. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • 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: Na San
Triple: [Battle of Na San, location, Na San]
Generated description
Na San is a locality in northwestern Vietnam known primarily as the site of a major French defensive victory over the Viet Minh during the First Indochina War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Na San
Target entity description: Na San is a locality in northwestern Vietnam known primarily as the site of a major French defensive victory over the Viet Minh during the First Indochina War.
  • A. Son La
    Son La is a city in northwestern Vietnam known as a regional administrative and economic center in a mountainous area inhabited largely by ethnic minority groups.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • D. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • E. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1867a481909a7ea3331dbb04ce completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098416504819089356b68fabdf737 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:52 p.m.