Triple

T6693616
Position Surface form Disambiguated ID Type / Status
Subject Dallas urban area E152689 entity
Predicate hasSuburb P747 FINISHED
Object Hurst
Hurst is a suburban city in the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and regional shopping centers.
 E611705 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: Hurst | Statement: [Dallas urban area, hasSuburb, Hurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurst
Context triple: [Dallas urban area, hasSuburb, Hurst]
  • A. Hurst
    Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
  • B. Crowhurst
    Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
  • C. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • D. Highfield
    Highfield is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
  • E. Highfield
    Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • 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: Hurst
Triple: [Dallas urban area, hasSuburb, Hurst]
Generated description
Hurst is a suburban city in the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and regional shopping centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hurst
Target entity description: Hurst is a suburban city in the Dallas–Fort Worth metropolitan area in Texas, known for its residential communities and regional shopping centers.
  • A. Hurst
    Hurst is a surname most famously associated with Sir Geoff Hurst, the English footballer who scored a hat-trick in the 1966 FIFA World Cup final.
  • B. Crowhurst
    Crowhurst is a small rural village and civil parish in Surrey, England, known for its historic church and countryside setting.
  • C. Baslehurst
    Baslehurst is a fictional English town that serves as the primary setting in Anthony Trollope’s novel "Rachel Ray."
  • D. Highfield
    Highfield is a residential suburb located within the coastal city of Timaru in the South Island of New Zealand.
  • E. Highfield
    Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b97210819086e88624c476fa24 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8955748819092b0e51cff6cab69 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:05 p.m.