Triple

T4820113
Position Surface form Disambiguated ID Type / Status
Subject Uzès E107689 entity
Predicate river P165 FINISHED
Object Alzon
The Alzon is a river in southern France that flows through the Gard department, including the town of Uzès.
 E471185 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: Alzon | Statement: [Uzès, river, Alzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alzon
Context triple: [Uzès, river, Alzon]
  • A. Eski Hastalık
    Eski Hastalık is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and emotional themes in early 20th-century Turkey.
  • B. Witiges
    Witiges was a 6th-century king of the Ostrogoths best known for leading the Gothic resistance against the Eastern Roman Empire during the Gothic War in Italy.
  • C. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • D. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • E. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • 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: Alzon
Triple: [Uzès, river, Alzon]
Generated description
The Alzon is a river in southern France that flows through the Gard department, including the town of Uzès.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alzon
Target entity description: The Alzon is a river in southern France that flows through the Gard department, including the town of Uzès.
  • A. Eski Hastalık
    Eski Hastalık is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and emotional themes in early 20th-century Turkey.
  • B. Witiges
    Witiges was a 6th-century king of the Ostrogoths best known for leading the Gothic resistance against the Eastern Roman Empire during the Gothic War in Italy.
  • C. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • D. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • E. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc02118819093f4dfad16c6085f completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e38bccc81909102f922fd395568 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4ea8fa708190909e26268b49b678 completed March 21, 2026, 7:54 a.m.
Created at: March 20, 2026, 1:24 p.m.