Triple

T12160947
Position Surface form Disambiguated ID Type / Status
Subject Lasbela District E289703 entity
Predicate containsTown P847 FINISHED
Object Bela
Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
 E965141 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: Bela | Statement: [Lasbela District, containsTown, Bela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bela
Context triple: [Lasbela District, containsTown, Bela]
  • A. Bela
    Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
  • B. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Dora Baltea
    Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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: Bela
Triple: [Lasbela District, containsTown, Bela]
Generated description
Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bela
Target entity description: Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
  • A. Bela
    Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
  • B. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Dora Baltea
    Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a0baf0819094e90b7e92b979d4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:50 p.m.