Triple

T19467316
Position Surface form Disambiguated ID Type / Status
Subject Pen Mar, Maryland E487032 entity
Predicate nameVariant P744 FINISHED
Object Pen-Mar
Pen-Mar is an unincorporated community and former resort area located on the Mason–Dixon Line along the border of Maryland and Pennsylvania.
E1377178 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: Pen-Mar | Statement: [Pen Mar, Maryland, nameVariant, Pen-Mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pen-Mar
Context triple: [Pen Mar, Maryland, nameVariant, Pen-Mar]
  • A. Waveland
    Waveland is a small coastal city in southern Mississippi known for its beachfront location on the Gulf of Mexico and its severe impact from Hurricane Katrina.
  • B. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • C. Brande
    Brande is a surname most notably associated with William Thomas Brande, a 19th-century English chemist and author.
  • D. De Maris
    De Maris is the surname of Merrill De Maris, an American writer best known for his work on early Disney comic strips featuring characters like Mickey Mouse and Donald Duck.
  • E. 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.
  • 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: Pen-Mar
Triple: [Pen Mar, Maryland, nameVariant, Pen-Mar]
Generated description
Pen-Mar is an unincorporated community and former resort area located on the Mason–Dixon Line along the border of Maryland and Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pen-Mar
Target entity description: Pen-Mar is an unincorporated community and former resort area located on the Mason–Dixon Line along the border of Maryland and Pennsylvania.
  • A. Waveland
    Waveland is a small coastal city in southern Mississippi known for its beachfront location on the Gulf of Mexico and its severe impact from Hurricane Katrina.
  • B. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • C. Brande
    Brande is a surname most notably associated with William Thomas Brande, a 19th-century English chemist and author.
  • D. De Maris
    De Maris is the surname of Merrill De Maris, an American writer best known for his work on early Disney comic strips featuring characters like Mickey Mouse and Donald Duck.
  • E. 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.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e2aee081908330a5665fa60482 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b40271c8190a27b00e6533ed1a0 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c19c3b88190a6114d272ebd5fbc completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d25ba448190a62777b68d2f3136 completed May 15, 2026, 3:35 p.m.
Created at: April 10, 2026, 1:39 p.m.