Triple

T521763
Position Surface form Disambiguated ID Type / Status
Subject Garonne E10830 entity
Predicate majorTributary P415 FINISHED
Object Gers
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
 E64830 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: Gers | Statement: [Garonne, majorTributary, Gers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gers
Context triple: [Garonne, majorTributary, Gers]
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • E. Degesch
    Degesch was a German chemical company best known for producing the pesticide Zyklon B, which was infamously used in Nazi extermination camps during the Holocaust.
  • 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: Gers
Triple: [Garonne, majorTributary, Gers]
Generated description
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gers
Target entity description: Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
  • A. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • B. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • E. Degesch
    Degesch was a German chemical company best known for producing the pesticide Zyklon B, which was infamously used in Nazi extermination camps during the Holocaust.
  • 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_69a4a7005ff08190870f19550ede4ee3 completed March 1, 2026, 8:52 p.m.
NEDg Description generation batch_69a4a795f4808190be5251b88e50096a completed March 1, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69a4a825d51c8190ac0b1d56492d843e completed March 1, 2026, 8:57 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.