Triple

T521734
Position Surface form Disambiguated ID Type / Status
Subject Garonne E10830 entity
Predicate passesThrough P225 FINISHED
Object Langon
Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
 E65928 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: Langon | Statement: [Garonne, passesThrough, Langon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langon
Context triple: [Garonne, passesThrough, Langon]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Lorne
    Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
  • C. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • D. Cholon
    Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
  • E. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • 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: Langon
Triple: [Garonne, passesThrough, Langon]
Generated description
Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langon
Target entity description: Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Lorne
    Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
  • C. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • D. Cholon
    Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
  • E. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b372408190b3918fec45444674 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d50c688190b0093af8870f6fdf completed March 1, 2026, 9:55 p.m.
NEDg Description generation batch_69a4b6643eb481908c1acc6f6d93aa05 completed March 1, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_69a4b6d923b881908d5ad572be2c2946 completed March 1, 2026, 9:59 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.