Triple

T18529557
Position Surface form Disambiguated ID Type / Status
Subject Lumen E452798 entity
Predicate relatedTo P37 FINISHED
Object Silex
Silex is a lightweight PHP microframework used for building small, fast web applications and APIs.
 E1328976 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: Silex | Statement: [Lumen, relatedTo, Silex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silex
Context triple: [Lumen, relatedTo, Silex]
  • A. Dolomieu
    Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
  • B. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • C. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • D. Marosillye
    Marosillye is a historical settlement in Transylvania, known as the birthplace of the 17th-century Prince of Transylvania, Gabriel Bethlen.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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: Silex
Triple: [Lumen, relatedTo, Silex]
Generated description
Silex is a lightweight PHP microframework used for building small, fast web applications and APIs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silex
Target entity description: Silex is a lightweight PHP microframework used for building small, fast web applications and APIs.
  • A. Dolomieu
    Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
  • B. Aue
    Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
  • C. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • D. Marosillye
    Marosillye is a historical settlement in Transylvania, known as the birthplace of the 17th-century Prince of Transylvania, Gabriel Bethlen.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fb940c81909d4ad9fc37f47829 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049178ea1c819085480137adfb3841 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a04921b1a508190b8bb6d6c4597ab99 completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492ba4ea08190b59510b221ad5d21 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.