Triple

T13783934
Position Surface form Disambiguated ID Type / Status
Subject Penobscot Valley E331204 entity
Predicate hasTown P847 FINISHED
Object Holden
Holden is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
E1061721 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: Holden | Statement: [Penobscot Valley, hasTown, Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden
Context triple: [Penobscot Valley, hasTown, Holden]
  • A. Holden
    Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • B. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • C. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • D. Holden
    Holden is a masculine given name of English origin, commonly used in English-speaking countries.
  • E. Holden Ford
    Holden Ford is a young, idealistic FBI agent in the TV series "Mindhunter" who pioneers criminal profiling by interviewing serial killers to understand their psychology.
  • 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: Holden
Triple: [Penobscot Valley, hasTown, Holden]
Generated description
Holden is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holden
Target entity description: Holden is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • A. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • B. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • C. Holden
    Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • D. Holden
    Holden is a masculine given name of English origin, commonly used in English-speaking countries.
  • E. Holden Ford
    Holden Ford is a young, idealistic FBI agent in the TV series "Mindhunter" who pioneers criminal profiling by interviewing serial killers to understand their psychology.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0247ccc881908dad7b547221f15d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07b0b2881909b316e3cc67f1ec1 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b138158c8190957d43d529c37fa4 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:11 p.m.