Triple

T40253
Position Surface form Disambiguated ID Type / Status
Subject Harrow School E795 entity
Predicate hasCampusFeature P2465 FINISHED
Object Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
 E9734 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: Harrow Hill | Statement: [Harrow School, hasCampusFeature, Harrow Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harrow Hill
Context triple: [Harrow School, hasCampusFeature, Harrow Hill]
  • A. Silver Hill
    Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • B. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • C. Mower Hall
    Mower Hall is a freshman dormitory building located within Harvard University's historic Harvard Yard.
  • D. Sever Hall
    Sever Hall is a historic red-brick academic building at Harvard University, known for its distinctive Romanesque architecture and use as a classroom facility.
  • E. White Hall
    White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
  • 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: Harrow Hill
Triple: [Harrow School, hasCampusFeature, Harrow Hill]
Generated description
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harrow Hill
Target entity description: Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
  • A. Silver Hill
    Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • B. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • C. Mower Hall
    Mower Hall is a freshman dormitory building located within Harvard University's historic Harvard Yard.
  • D. Sever Hall
    Sever Hall is a historic red-brick academic building at Harvard University, known for its distinctive Romanesque architecture and use as a classroom facility.
  • E. White Hall
    White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ec1ef5481909daf99654dfa3f57 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c15db808190b8d66206a4ed1085 completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26da8de008190872009f99d1aa684 completed Feb. 28, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69a26e45509c8190953e288c45924734 completed Feb. 28, 2026, 4:25 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.