Triple

T359271
Position Surface form Disambiguated ID Type / Status
Subject Cape Cod Bay shoreline E7811 entity
Predicate adjacentTo P224 FINISHED
Object Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
 E48372 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: Brewster | Statement: [Cape Cod Bay shoreline, adjacentTo, Brewster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brewster
Context triple: [Cape Cod Bay shoreline, adjacentTo, Brewster]
  • A. Martinscroft
    Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • D. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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: Brewster
Triple: [Cape Cod Bay shoreline, adjacentTo, Brewster]
Generated description
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brewster
Target entity description: Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • A. Martinscroft
    Martinscroft is a stop on Greater Manchester’s Metrolink light rail network, located on the Airport Line.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • D. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • E. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebb248608190b060553219616043 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faf97ad881909de5876adb0e8d84 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fbb1e0748190abb040da322bce23 completed March 1, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_69a3fda1f4c88190ab3397b3ce54664f completed March 1, 2026, 8:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.