Triple

T15762584
Position Surface form Disambiguated ID Type / Status
Subject East Cork E382135 entity
Predicate containsSettlement P847 FINISHED
Object Mogeesha
Mogeesha is a small rural settlement located in East Cork, Ireland.
E1176020 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: Mogeesha | Statement: [East Cork, containsSettlement, Mogeesha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogeesha
Context triple: [East Cork, containsSettlement, Mogeesha]
  • A. Moshood
    Moshood is the given name of Moshood Kashimawo Olawale Abiola, a prominent Nigerian businessman, publisher, and politician widely regarded as the presumed winner of Nigeria’s annulled 1993 presidential election.
  • B. Mohamud
    Mohamud is a Somali surname notably borne by Hassan Sheikh Mohamud, a prominent Somali politician and former president of Somalia.
  • C. Musa
    Musa is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," around whom key political and personal conflicts in Kashmir revolve.
  • D. Musa
    Musa is a genus of large herbaceous flowering plants that includes the bananas and plantains widely cultivated for their edible fruit.
  • E. Musa
    Musa is a central character in the documentary film "The Bengal Tiger at the Baghdad Zoo," which follows the experiences of Iraqis and American soldiers amid the chaos of post-invasion Baghdad.
  • 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: Mogeesha
Triple: [East Cork, containsSettlement, Mogeesha]
Generated description
Mogeesha is a small rural settlement located in East Cork, Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mogeesha
Target entity description: Mogeesha is a small rural settlement located in East Cork, Ireland.
  • A. Moshood
    Moshood is the given name of Moshood Kashimawo Olawale Abiola, a prominent Nigerian businessman, publisher, and politician widely regarded as the presumed winner of Nigeria’s annulled 1993 presidential election.
  • B. Mohamud
    Mohamud is a Somali surname notably borne by Hassan Sheikh Mohamud, a prominent Somali politician and former president of Somalia.
  • C. Musa
    Musa is the name used in the Quran for the prophet Moses, a central figure in Islamic tradition known for leading the Israelites and receiving divine revelation.
  • D. Musa
    Musa is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," around whom key political and personal conflicts in Kashmir revolve.
  • E. Musa
    Musa is a genus of large herbaceous flowering plants that includes the bananas and plantains widely cultivated for their edible fruit.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.