Triple

T12457132
Position Surface form Disambiguated ID Type / Status
Subject Halab E297686 entity
Predicate hasAlternativeName P39 FINISHED
Object Halep
Halep is the Turkish name for Aleppo, one of the oldest continuously inhabited cities in the world, located in present-day Syria.
 E984389 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: Halep | Statement: [Halab, hasAlternativeName, Halep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halep
Context triple: [Halab, hasAlternativeName, Halep]
  • A. Coria
    Coria is the surname of Argentine former professional tennis player Guillermo Coria, who was one of the world’s top clay-court specialists in the early 2000s.
  • B. Coria
    Coria was a significant Roman fort and settlement in northern Britain, located near modern Corbridge in Northumberland.
  • C. Bordoy
    Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
  • D. Mayar
    Mayar is a mountain in the Grampian range of Angus, Scotland, popular with hikers and often climbed together with its neighboring peak Driesh.
  • E. Steffi Duna
    Steffi Duna was a Hungarian-born film and stage actress and dancer active in Hollywood during the 1930s and 1940s, known for her exotic roles and musical performances.
  • 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: Halep
Triple: [Halab, hasAlternativeName, Halep]
Generated description
Halep is the Turkish name for Aleppo, one of the oldest continuously inhabited cities in the world, located in present-day Syria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halep
Target entity description: Halep is the Turkish name for Aleppo, one of the oldest continuously inhabited cities in the world, located in present-day Syria.
  • A. Coria
    Coria is the surname of Argentine former professional tennis player Guillermo Coria, who was one of the world’s top clay-court specialists in the early 2000s.
  • B. Coria
    Coria was a significant Roman fort and settlement in northern Britain, located near modern Corbridge in Northumberland.
  • C. Bordoy
    Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
  • D. Mayar
    Mayar is a mountain in the Grampian range of Angus, Scotland, popular with hikers and often climbed together with its neighboring peak Driesh.
  • E. Steffi Duna
    Steffi Duna was a Hungarian-born film and stage actress and dancer active in Hollywood during the 1930s and 1940s, known for her exotic roles and musical performances.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1b0a3081909cf22970586755e9 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f64010a1348190afaf7b95b8f146b5 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f640c33d948190ad8f9885f90786d7 completed May 2, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:56 p.m.