Triple

T10775781
Position Surface form Disambiguated ID Type / Status
Subject western Sudan E254192 entity
Predicate hasMajorCity P316 FINISHED
Object Ed Daein
Ed Daein is a major city in western Sudan that serves as an important regional center for trade and administration.
E885007 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: Ed Daein | Statement: [western Sudan, hasMajorCity, Ed Daein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Daein
Context triple: [western Sudan, hasMajorCity, Ed Daein]
  • A. Rogil
    Rogil is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rural landscape and Atlantic coastline.
  • B. Lord Steyn
    Lord Steyn was a prominent British Law Lord and jurist known for his influential judgments in the House of Lords and his advocacy for human rights and judicial independence.
  • C. Lord Sanquhar
    Lord Sanquhar was a Scottish noble title held by a branch of the Crichton family, associated with the peerage of Scotland in the late medieval and early modern periods.
  • D. Selwyn Tarth
    Selwyn Tarth is a noble lord from the island of Tarth in the "A Song of Ice and Fire" series, best known as the father of the warrior Brienne of Tarth.
  • E. Frederic Talgorn
    Frédéric Talgorn is a French composer best known for his symphonic film scores and concert works, particularly in the science fiction and action genres.
  • 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: Ed Daein
Triple: [western Sudan, hasMajorCity, Ed Daein]
Generated description
Ed Daein is a major city in western Sudan that serves as an important regional center for trade and administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ed Daein
Target entity description: Ed Daein is a major city in western Sudan that serves as an important regional center for trade and administration.
  • A. Rogil
    Rogil is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rural landscape and Atlantic coastline.
  • B. Lord Steyn
    Lord Steyn was a prominent British Law Lord and jurist known for his influential judgments in the House of Lords and his advocacy for human rights and judicial independence.
  • C. Lord Sanquhar
    Lord Sanquhar was a Scottish noble title held by a branch of the Crichton family, associated with the peerage of Scotland in the late medieval and early modern periods.
  • D. Selwyn Tarth
    Selwyn Tarth is a noble lord from the island of Tarth in the "A Song of Ice and Fire" series, best known as the father of the warrior Brienne of Tarth.
  • E. Frederic Talgorn
    Frédéric Talgorn is a French composer best known for his symphonic film scores and concert works, particularly in the science fiction and action genres.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.