Triple

T669096
Position Surface form Disambiguated ID Type / Status
Subject Scheldt E12931 entity
Predicate tributary P415 FINISHED
Object Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
 E87201 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: Lys | Statement: [Scheldt, tributary, Lys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lys
Context triple: [Scheldt, tributary, Lys]
  • A. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • B. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • C. Lari
    Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
  • D. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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: Lys
Triple: [Scheldt, tributary, Lys]
Generated description
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lys
Target entity description: The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • A. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • B. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • C. Lari
    Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
  • D. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffbe09881909b547a52a6b34c7f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374a189c81908f7bc0828e9ff382 completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a647001b4481909654167ccfe6f434 completed March 3, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6476b3a048190a80683422d29befd completed March 3, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:36 p.m.