Triple

T9821474
Position Surface form Disambiguated ID Type / Status
Subject Sweetwater County E238540 entity
Predicate contains P35 FINISHED
Object Granger
Granger is a small town in southwestern Wyoming known for its historic role as a stop along early emigrant and railroad routes.
 E822703 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: Granger | Statement: [Sweetwater County, contains, Granger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Granger
Context triple: [Sweetwater County, contains, Granger]
  • A. Granger
    Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
  • B. Granger
    Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
  • C. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • 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: Granger
Triple: [Sweetwater County, contains, Granger]
Generated description
Granger is a small town in southwestern Wyoming known for its historic role as a stop along early emigrant and railroad routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Granger
Target entity description: Granger is a small town in southwestern Wyoming known for its historic role as a stop along early emigrant and railroad routes.
  • A. Granger
    Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
  • B. Granger
    Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
  • C. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc7ce1908190a5131ef238541f0d completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd0376708190bc68b5f74f476339 completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd70aa5481908b67afef279c38af completed April 5, 2026, 2:48 a.m.
Created at: March 30, 2026, 8:31 p.m.