Triple

T7432600
Position Surface form Disambiguated ID Type / Status
Subject River Foss E171527 entity
Predicate flowsThrough P225 FINISHED
Object Haxby
Haxby is a town in North Yorkshire, England, situated just north of York.
 E664295 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: Haxby | Statement: [River Foss, flowsThrough, Haxby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haxby
Context triple: [River Foss, flowsThrough, Haxby]
  • A. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • B. Nancy Kanwisher
    Nancy Kanwisher is a cognitive neuroscientist renowned for her pioneering work on the functional organization of the human brain, particularly in visual perception and face recognition.
  • C. Moscovitch
    Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
  • D. Anna M. Kross Center
    The Anna M. Kross Center is a large jail facility on Rikers Island in New York City that primarily houses male detainees and includes specialized units for mental health and substance use treatment.
  • E. Rasmussen
    Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
  • 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: Haxby
Triple: [River Foss, flowsThrough, Haxby]
Generated description
Haxby is a town in North Yorkshire, England, situated just north of York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haxby
Target entity description: Haxby is a town in North Yorkshire, England, situated just north of York.
  • A. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • B. Nancy Kanwisher
    Nancy Kanwisher is a cognitive neuroscientist renowned for her pioneering work on the functional organization of the human brain, particularly in visual perception and face recognition.
  • C. Moscovitch
    Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
  • D. Anna M. Kross Center
    The Anna M. Kross Center is a large jail facility on Rikers Island in New York City that primarily houses male detainees and includes specialized units for mental health and substance use treatment.
  • E. Rasmussen
    Rasmussen is a surname of Scandinavian origin borne by various notable individuals across fields such as politics, sports, and media.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f325ea908190b668fd4ce646f1e6 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f187f5081909d171835278c035c completed March 28, 2026, 6:34 p.m.
NEDg Description generation batch_69c8230a58008190ad10d012f4070435 completed March 28, 2026, 6:50 p.m.
NED2 Entity disambiguation (via description) batch_69c823ec05288190aa3c0b812ce1662f completed March 28, 2026, 6:54 p.m.
Created at: March 27, 2026, 3:12 p.m.