Triple

T9793089
Position Surface form Disambiguated ID Type / Status
Subject Scetis E237651 entity
Predicate hasResident P6481 FINISHED
Object Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
E820905 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: Pambo | Statement: [Scetis, hasResident, Pambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pambo
Context triple: [Scetis, hasResident, Pambo]
  • A. Abanilla
    Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
  • B. Harakmbut
    The Harakmbut are an indigenous people of the Peruvian Amazon known for their distinct languages, forest-based livelihoods, and deep cultural ties to the Madre de Dios region.
  • C. Pambujan
    Pambujan is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and natural landscapes.
  • D. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • E. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • 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: Pambo
Triple: [Scetis, hasResident, Pambo]
Generated description
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pambo
Target entity description: Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
  • A. Abanilla
    Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
  • B. Harakmbut
    The Harakmbut are an indigenous people of the Peruvian Amazon known for their distinct languages, forest-based livelihoods, and deep cultural ties to the Madre de Dios region.
  • C. Pambujan
    Pambujan is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and natural landscapes.
  • D. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • E. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:28 p.m.