Triple

T10943929
Position Surface form Disambiguated ID Type / Status
Subject Lac du Bourget E258545 entity
Predicate inflow P415 FINISHED
Object Sierroz
Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
 E895512 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: Sierroz | Statement: [Lac du Bourget, inflow, Sierroz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sierroz
Context triple: [Lac du Bourget, inflow, Sierroz]
  • A. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Jauja
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • D. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • E. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • 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: Sierroz
Triple: [Lac du Bourget, inflow, Sierroz]
Generated description
Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sierroz
Target entity description: Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
  • A. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Jauja
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • D. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • E. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c2dea008190af68336a096b7f7c completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.