Triple

T18318458
Position Surface form Disambiguated ID Type / Status
Subject Sakhee E438807 entity
Predicate sire P25213 FINISHED
Object Bahri
Bahri was a top-class Thoroughbred racehorse and successful stallion known for his performances in European flat racing.
E1317675 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: Bahri | Statement: [Sakhee, sire, Bahri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahri
Context triple: [Sakhee, sire, Bahri]
  • A. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • B. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • C. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • D. Morsko
    Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
  • E. Meer
    Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • 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: Bahri
Triple: [Sakhee, sire, Bahri]
Generated description
Bahri was a top-class Thoroughbred racehorse and successful stallion known for his performances in European flat racing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bahri
Target entity description: Bahri was a top-class Thoroughbred racehorse and successful stallion known for his performances in European flat racing.
  • A. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • B. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • C. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • D. Morsko
    Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
  • E. Meer
    Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa342a881909afcd995405027af completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c6094881909add4e2fe99a1bba completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c52d0ba48190845d461df02c3aa3 completed May 13, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a03c5dd07488190ae04c6b406ab29c9 completed May 13, 2026, 12:29 a.m.
Created at: April 10, 2026, 10:36 a.m.