Triple

T5100361
Position Surface form Disambiguated ID Type / Status
Subject County Tyrone E114966 entity
Predicate hasSettlement P1068 FINISHED
Object Eskra
Eskra is a small rural village and townland in County Tyrone, Northern Ireland.
 E494942 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: Eskra | Statement: [County Tyrone, hasSettlement, Eskra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eskra
Context triple: [County Tyrone, hasSettlement, Eskra]
  • A. Tanta
    Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
  • B. Tanta
    Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
  • C. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • D. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • E. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • 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: Eskra
Triple: [County Tyrone, hasSettlement, Eskra]
Generated description
Eskra is a small rural village and townland in County Tyrone, Northern Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eskra
Target entity description: Eskra is a small rural village and townland in County Tyrone, Northern Ireland.
  • A. Tanta
    Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
  • B. Tanta
    Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
  • C. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • D. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • E. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd758381dc8190ac491788d27ab8e0 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8977f481908b0d55a9cd28d492 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebe4e61008190aa297a4b41e93cb3 completed March 21, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69bebf801fa481909e885bb0d13f48b5 completed March 21, 2026, 3:55 p.m.
Created at: March 20, 2026, 1:40 p.m.