Triple

T11993739
Position Surface form Disambiguated ID Type / Status
Subject CR Belouizdad E285475 entity
Predicate homeCity P263 FINISHED
Object Belouizdad
Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
E958649 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: Belouizdad | Statement: [CR Belouizdad, homeCity, Belouizdad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belouizdad
Context triple: [CR Belouizdad, homeCity, Belouizdad]
  • A. Zarda
    Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
  • B. Catriel
    Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
  • C. Erezée
    Erezée is a small rural municipality in the Ardennes region of southern Belgium, known for its scenic landscapes and quiet village character.
  • D. Belavia
    Belavia is the national flag carrier airline of Belarus, operating scheduled passenger and cargo services primarily from its base in Minsk.
  • E. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • 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: Belouizdad
Triple: [CR Belouizdad, homeCity, Belouizdad]
Generated description
Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belouizdad
Target entity description: Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
  • A. Zarda
    Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
  • B. Catriel
    Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
  • C. Erezée
    Erezée is a small rural municipality in the Ardennes region of southern Belgium, known for its scenic landscapes and quiet village character.
  • D. Belavia
    Belavia is the national flag carrier airline of Belarus, operating scheduled passenger and cargo services primarily from its base in Minsk.
  • E. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47273e1088190b899071baff1375a completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7d4ef081908f7f87d90c00d9ed completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47de8c9e48190af01918c9cd94c7d completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.