Triple

T7913369
Position Surface form Disambiguated ID Type / Status
Subject High Street E183753 entity
Predicate listedAs P310 FINISHED
Object Hewitt
Hewitt is a locality or settlement associated with a High Street, likely serving as a small town or neighborhood center.
 E696793 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: Hewitt | Statement: [High Street, listedAs, Hewitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hewitt
Context triple: [High Street, listedAs, Hewitt]
  • A. Hewitt
    A Hewitt is a classification for hills in England, Wales, and Ireland that are at least 2,000 feet high with a minimum prominence of 30 meters, commonly used by peak baggers and hillwalkers.
  • B. Hewitt
    Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
  • C. Peter Hewitt
    Peter Hewitt is a British film director known for helming family-oriented and fantasy comedies such as "Bill & Ted's Bogus Journey" and "Garfield: The Movie."
  • D. Larcher
    Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
  • E. Murray
    Murray is a suburban city in the Salt Lake Valley of Utah, known for its central location in the metropolitan area and its mix of residential, commercial, and medical facilities.
  • 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: Hewitt
Triple: [High Street, listedAs, Hewitt]
Generated description
Hewitt is a locality or settlement associated with a High Street, likely serving as a small town or neighborhood center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hewitt
Target entity description: Hewitt is a locality or settlement associated with a High Street, likely serving as a small town or neighborhood center.
  • A. Hewitt
    Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
  • B. Hewitt
    A Hewitt is a classification for hills in England, Wales, and Ireland that are at least 2,000 feet high with a minimum prominence of 30 meters, commonly used by peak baggers and hillwalkers.
  • C. Peter Hewitt
    Peter Hewitt is a British film director known for helming family-oriented and fantasy comedies such as "Bill & Ted's Bogus Journey" and "Garfield: The Movie."
  • D. Larcher
    Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
  • E. Murray
    Murray is a suburban city in the Salt Lake Valley of Utah, known for its central location in the metropolitan area and its mix of residential, commercial, and medical facilities.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a748f4c8190bcd868de2fcf0b3a completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdfb8d0819089cf1268df61bcdc completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.