Triple

T17933440
Position Surface form Disambiguated ID Type / Status
Subject Haydock Sprint Cup E448390 entity
Predicate notableWinner P2766 FINISHED
Object Minzaal
Minzaal is a high-class British sprinter racehorse best known for his Group 1-winning exploits over six furlongs.
E1296461 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: Minzaal | Statement: [Haydock Sprint Cup, notableWinner, Minzaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minzaal
Context triple: [Haydock Sprint Cup, notableWinner, Minzaal]
  • A. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • B. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • C. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • D. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • E. Munirka
    Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
  • 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: Minzaal
Triple: [Haydock Sprint Cup, notableWinner, Minzaal]
Generated description
Minzaal is a high-class British sprinter racehorse best known for his Group 1-winning exploits over six furlongs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minzaal
Target entity description: Minzaal is a high-class British sprinter racehorse best known for his Group 1-winning exploits over six furlongs.
  • A. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • B. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • C. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • D. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • E. Munirka
    Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a55381708190b5dfce6a81bb20d8 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03213a24b48190aad2297210e86d78 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a0322181a5c8190b34ea80445fc5596 completed May 12, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0322a4c9448190823e9fdc03ea9f90 completed May 12, 2026, 12:52 p.m.
Created at: April 10, 2026, 10:21 a.m.