Triple

T15845481
Position Surface form Disambiguated ID Type / Status
Subject North Cork E384201 entity
Predicate containsSettlement P847 FINISHED
Object Bweeng
Bweeng is a small rural village in County Cork, Ireland, known for its close-knit community and countryside setting.
E1179860 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: Bweeng | Statement: [North Cork, containsSettlement, Bweeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bweeng
Context triple: [North Cork, containsSettlement, Bweeng]
  • A. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • B. Bilie-By-Nze
    Bilie-By-Nze is the surname of Alain-Claude Bilie-By-Nze, a prominent Gabonese politician and former Prime Minister of Gabon.
  • C. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • D. Beng
    Beng is the ISO 15924 four-letter code that designates the Bengali script used for writing the Bengali language and several other languages of the Indian subcontinent.
  • E. Bangangté
    Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
  • 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: Bweeng
Triple: [North Cork, containsSettlement, Bweeng]
Generated description
Bweeng is a small rural village in County Cork, Ireland, known for its close-knit community and countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bweeng
Target entity description: Bweeng is a small rural village in County Cork, Ireland, known for its close-knit community and countryside setting.
  • A. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • B. Bilie-By-Nze
    Bilie-By-Nze is the surname of Alain-Claude Bilie-By-Nze, a prominent Gabonese politician and former Prime Minister of Gabon.
  • C. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • D. Beng
    Beng is the ISO 15924 four-letter code that designates the Bengali script used for writing the Bengali language and several other languages of the Indian subcontinent.
  • E. Bangangté
    Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa1412c9481909808473e14058033 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.